{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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+0tqQl5aKWJyK8JMc8zHcrSeubeSFh4YPeLOI2yLBvbK3VqiHa+R5ZyGl4mxUlXlIa2ZaluoOb5ElCUBjwx+rfYtNVOTE8CDPlyhgQFCkos4qsPuZK49bozBRdKmIBjEGpx2oyR+KJXQeVJP8Yud5G/ZP2czpfKhaTWk3p/MFdaor7dZWIOaahMNoNsQoSYyB9IvWbQUmq8CsGez47POLlfd5279nzedQ78VxQTvQoGz3ZMn21LBozuXDNd0jne6fv7lAU468ImV2YNt2Q4zSp7WiSiHcz6Xnu51yuZqe2j5oe/3YnBvXlEXRLFSEyaGvjlfeNIQZ20ppCG+HN4vC57LcmzftOu/+HFsyhU/WT08OqeKwTRaXr+27N2rBbZ/tKdU1fLUAyy90bDw/b/Qtt9t7MzKJD5YOwsyVGedzt8zi2O6L/H1AOlW3hWSYqFPDnzV/nsQkoVkVx3o7l1VEowj4ZEU+JqmsAaUcVMrtLKSHrUDsWluwJUPpEFRyzAOQrjUkhy8qHYJ9p5JrElSNNGrS7/kJqGc2WWwUofzPL1ZUJp7Upce2nSc9X/DVn1lO95+4JDRqmbMFgmCjdqTfNtpazi6xkq41ym9BtcL4e6f7BtimlufbsBeKnrxFy4OKDndQxwv38rIWat6oN5YeLp0tta/rKQVObGWPnyiHsJ82eBMyev/Jsu1YPVHk5HK+xD0H5T2y9Rb3JNT2bL/Igj1FLhflC2elUVgg2XBK2b/vglXVobL7tORIjva5G4Wiktl9VhnEqPsSQqTGGWzNccWm3fb9jzXPDE9fhNohypqAbZtrFqGoapbvLOS6lv5kF1nDmRwxT/hsAxF64z3/z85CjMK9aah9Z306H6qFW4XG0QvWfWFBgjbN3avlKoVw97TAVjvec5ARXxcifQlK5S0VHe7AmfrD1/g0vuq2a3pQAwcaSm/y6cmj0Z79ey46bFuWVr4Pw5NzkVG494r0Bl8HC9tOlM092wohTwkl/PyUxU5Xwm/fmrPENw+zzHxva6uoW0zS+g6mXVSEsyoHsosENcMVx8RcE9w3sArVApSBRe/WAZyxWdPJLhIOA46EGCPd45SQBdHBihrQVq2UU6i00bRcQbH5ugMbK9dWhfOBHMfzuiMuzKo9cCaL7LdF+iud0pGzxZZ9R/Osi8YLD4PR330DqBTC3RPHjnpWyPuaq9E2VsWVgq8jVpOTYVnrmsIn2/3jjnLRLcMeine739eRojN8DolwRnvR6ADnKoKKpFucLHVn7+vvba1Cwv0k8cHSIeaJJ4FlKwSd2V7bcza7mCh/abEUcaabP77buv6Rl2e9qV7tlMXeKH9pMQMO91P8SC4VQliA8l5fOl9IixqCSH8oKnKsV/tn/cfuYrLMyxUpZwQHs63CtWctaXH9NwpFJRRogMNntCdV93eJ9S466YV8NFEo7bFXR6nBz87nW5+JfQdwNM39mkulEO63tnTvpVRQ6Llyr4S0ZqVlzOxkjzOQKH9l0SU5RvLbdsd5eKdRjTiUbbUyaBOlTGldLYj5GmgsY4R7877LEVv9sF2avYwCUSYJiN3hKVDU5tOeo4C6Qn3ZPQnipGip8bTOL7Ym7m5j1t/e0Tecu1pb369Is1CZ/EpDi1C2HVQMuCaU2EDJlHeaUDtEUYOo5Qg0OM4MC0wwqF0Akf4womsgx3KFxkKrWkwAxzOKLPeTlVNsKXPNbjUBRb143cRWDG4iLLO+uKoGkpsGkFko+GVFLptOSOpHwpIdhYT7Kee6rYXBUi5bovylJSG2USijdFXNcspsRNWvnhKYa8URpayH7HwlkqKVkfWuc5BY17NRwvkCa4fgLCJo81pGbaCxUKVuY0MhuaYSbz65urZuZ++9CnTunhb95qdVTDkqGnszxeIA90kFQPE6rBoINSINTju0nC0ZZBZabbaTmgQQaPA9DaEr8kdt9nhMaW31fTXfdFYPnqI2lpZW1d3fZGah4N4O2re8bqjWlC86wGod0TJS+dw4XFI3VBG4TR3XiTV0+SeZcBv37fhgyYHzyueVpxS1Q2RSdXYfK7IIwATzOUWAgTphinmiRo3235YAnOpbhZN5cOv1EVQLUMqTX4xD/JNNZwUXL5ooKIajx/LJL9aqdZZtzCMiRLn49Q0NVI8y0umpZgAUnbtEiFEqC6BGQWxsACYJESEGTpwrJijESKABsgqVBfbcAuvCaaDBal1jFFpbe1snOpNU6llVd6hJNVr80IlvUovILhL0ayAc0gU2quWHSSrPccV+z4vSAQZlUBFokE5z+gYHGzQqrgv5Shu9aF78DfODzDyrdY43+S0qhXD3NNq7ErzsvMEbHd3ITtYXPjYUnr3N+ga/12+tx5F0Wq5gb7Zg1j7pVI3z4UzFp0yt0+/XFZJR4FsAKnfsS/OsIiutTbmvsdCdjYhjI8q30WTleb7Hmi200vlAjlY33bQqPP5MXUDxsr2rZyhnLikqw4JiQYgHJ1vDSzv42Wb21rm+0aETf3PyATaesy44njCPUFd/tJftWcpI2XY0HrMln1wT7Om/Dj8Bi5dd4GiesCS0sO9ITRIC/JXBxIoj0iEZ9cEcQfuh8Ux5szFZKe04n2Ni9bu7AEidd4pck6BJrIFPH9/KjDWXMAooLpbszVLswO/vFkSkeYahLnaG+StC948URflu2zklVpX0Stba2o6e1soi/NW+UHywx3LfxzOVm7KVMxfzii2DDG/kz8jRdYkOUDyMncmzA8cKiQmCO1oqHdbBbGjXOIDtWYL9ZxVVUat4I62qKou/4X6e154qhXD3RDcvY7lcbga18Dx9m7XRugx/Igd+n5dl+e6rnjgp1rmJly1lra5afsJ6fmdCNcQouam5H80ilJGos1H44CbKOWIDpdMFXV87Imedia+zPW+8EG3Zdk4xbXP3mze+zqBxuKJCA8dBzMpTgomvHQGU5/bRwlzL4mR+seeogH8u0dryJ3zRkb4t/Ak0QP8EZZt9mzpt7pvTLygjw7ggrdlj6pStZBcJVp9QBKpqdebOLLO42Hpv9veYXwymnELOp5yi90/5VAkzsj1dufZ5cwe57mixxfPbJCH1uKRGsLKGsGxjHglms8SMAkGjCGkxy8yySeLRopry/5bJLdgys6nmuVxqGEbrGLU+lP+bVmdy1mziuO2ccNCJp2cVW+5l5BN1iA+WblV92bfU5PHP2/LUTYoJm/17mXVJUWH9sdNEfrE50Jh5oVCt/xNnTRZ7/WCj53f3qhDuuV5YtflqWTC4ieCxXkEMT/LeyUddMHIVOKzBO0kMbiKYvnMFJy896vQY25H5iUvCYxhYd5y5WHY6bl911BPmdXRq/lYzGJqNbU2tKoLR77SgfpSj8G07tC6PXxdMQfYN9LzGiT2nj5TFIm7rGPgl/XO+OjSPER39Pc4+8osV4dLdzfqySULr2kZuer21V1ZMzp6lu8W803aTqIidF2l8Z33uSvKn/ZednP4m3M+qN28T7ai+2nismAZhiqqmRbTn9hVoUNSqPWu5XsRe+fsJsk5cYtGU7RaB9sKEBhYv3/R8ofFQzy5SQlgUSaWjNxqs3q23zLTeV4jRauLYJEGZ5vw5cQd95hTTtpqkZy3JHS2NrLpnDQlx/hpLrrRz0mL2mV/sGJ8o/aI1BvvhZacI8BC8MOuJjUy5oz65Zi8/+0FNgAHqRWkF9k9rtQ9w5SlhuY432aGuCuG+N8vzMfYuxp44eLqYzIxCvkn13skjv1iZWtuOXm3JfGMr8/ZJRjbvRs2g//lUnpJg3yBLgq0Zli9MumGd05f5ZB6Mu3MTVSMMvDF6B8tPCIeOd9lXh5i2KI/MgPm8N8dHcx0nlIVlzNYzMDDmQUbUu4Gv1hV6Zc6ZX6yYrLkiyl8yb6+Jtx/eWuLgd9WdePOqz8w+Wup7j2xl13cHqP90S768YY3T9Zsb2gTw4GPx1IwUxFQxEGN3/rMF0HddRwCaNw72uP5RO0QRsKtPau9v6rTmgLIwWaemPydPFRARYqBqbCCtawpOLjmhOf6uiU0tn5NrwJp0YRHoBSaoH24ewM1Tsln0rCU1KqivUxShmpohKFh1ihserU+hCZoNimfFCcHpjCJNqr2TNoYosYHS4v2q1m3NMLiphzLwWLWrgAM5wu078s/WAsb9cICDhxWBbd9pHsqGnRnaxWu13aqdbYMw6ZOnfqUQ7p4WEcvDEmZLpuDHrWXrZDJtUV6FWu2URQhhV9NpV3jyilXLZJv2zt6cbulxzzbipaEkzmRl7YGcFC2JCVLqw50duCf8jdb76auo5y3nso8skFGgtOmvH9xIsJ8S68SehLFt+PmVuhzMkKQeKSa3QPtMTVKQF6Qs7J5JL6B/+0CMwnX4gXbxRu5qbSS/GM3o++TvSrz7Fgn+xCSEUKdOEM07RBIythWhwQa++dcqXY0CctafJiFEiZRYP14ZhYcYlXMGGK3B6Fb/pnQKxy8oMyflOK2T0q/fn2TPH0c4mAUTpqYBihpqQKdgjAKGNDPQJlrJ6ZBYVfLAPdUJ95OaoF+5BYqdeZ94q0OTu2cYYITPHt1iSflnHz7jQpEgwCava/8EreloiFESFWRthxGBnk2jK4VwH359GPck+jHlnSaMe6Imj/XStsr8YsFT/UMZMzCMscOraUy7VOxzAsQHS15+qHqpAlDpOHJLRx+yVpeQ3nWURu9ONXJzI8GwtkaSYxyDSeUXO6oz+icoL1CfeBjWtvzTdqVmCAcTTV+J8pfsOWsd3Kw8pr0n+85dFRwHcgTHzAvv9hT+fYSuPdax64Kgrnm911ZVaBSS3xqvJ68ICoskWZlF+All8d/Z82jQtgrNH2lKuJ+kU1PrCvBHS5TFzpNniii6ZCJlax6ht9bn++vXEBnlpyl7gzDJ6QM5JNU1UrdeEJv2FhAXJBl1dwzHcpVF4KTkCIxCWtLQHcu11suLH7ciNlAxMEgIkRzLhb92FmnWCTaeEwRXDaBrTYmpWNK1TzWWHpZUDRVsXZZB9SCtSXbvPpHM/PsCNaoZqeJF9OhaEdq4S/aj/BCj5HS+INekPNeVxySdakgGXBNKYm0DT9xWlVCb66ScERazVVdUCuGe9UEzajWP4ES/CIxh/lxyEuyoWudYIppGkZ+ZT56T4fG2c9oRn1FAYJMohr7RqjyL/v+OmslOgn3Y4GqE5wvXvJdkcSF3RXQ1PxrdGE/LBgGM6u44RD1zSav37DS8Hjc0NhIaJLiUXzEdfmlnccOvD7NM7xOrSo8zNdu1B1fXPrklk/mbCwg0QN8nGnEiR/ve5BcrYYhPXBKcyipm21ETtUMkq9Odx1dZt+IcGZ3CqBkMca0jHdYW0i9IMo5dIjpccO7r3ZzOF+Rc0L7f5/KVRNqnMk3UuKU+DWsaySqE/evOYZLQtbGigLYVdrZ1cbJLCLkmxV48p0iJ+GirqlM1A+/+doGNp2HB/mIuZSn6j5STknkHJHlFsNrG5DEjLZe6VWDN/iKNR6wrcgsU65bdJ4uZNKGew/6utYVlITWzUKnjNq1CCa4aSHQ1P47uuMDZXGvYhXA/SY9m7qV72YYELCfmNF1PZqHA78dzThulScKkCQctn51h3/DTcgUTn9ljHm1UElvKSsDr7x5zu99ZYgRfee+29W7VJCFGyfS1hQSuS6NIwr0dHI/JLBRk2oyk3ph6EJNUTQKvzNmcqhpQR9IBL7XiVPc1hBglSc0D2bhSa1mQWFVqks04ezfC/bQLnVXrhFCwsYD8Ypj55j7OFkDXmtKyjqSeo2WkJOWMsl4y7oPmvPz4Tqedy6FMqDk8Vfm87pxDB3DuEizfU0TLWMGCFTmE+2F2ahJEB0gyChQzytAggb8Rzi89RmGR0pEFBhowChONbq5D5obTDOwYxCcrrEpp1ezS/4UdmCQsPaaolRpUkaTZpLVrFQMrTijHqnVhMAhMUlhUWycuaR3fiookfR9twKQJB71Kf3njy81JeWoX5wtg1ocHsZc5R7Mc5dDhg3kEH89n1YEimlUXFJhH9bf3COXTRbnM3Ox+PbBSjNwzCqzmX67wJniPs9+4Wmyr6CBfUHns9d3haTRaNaj0detJ/60KGdXaYdtBR3OqB7oEOPymor2YPa0lNQ5XnG9Ur9JHh1bl2noGAg2KrnlefyWyaa5JMCc136IbV3Wx4XYTFmf13iRS+z30nsaWzuOwedS+8qRjfecVKQt94X6SQ9/vA5yvt7SKMzBjm4ma4fDjVpODOqKgWAltG+AvOHxRWQdQr9c4ylru7FzJ1pOSX+ZkcS5beVBHThWSXSRY9fUhFq/MIedCEckxkiHNlBuN8FPMbd+bc1ETDjjtgqYIbD7tWPafF2Zb2oOqbrIte42Gocx85wANwqRX6SxFsJEof8nZAqEJOqbiLJDhooPFLN5bRP0o2HVactcjdagSoAj9Iql4/LqjUgj3y8HlCFdwOVzzK5rzBdDUSVhXW8o6cUZqhuOL42tUSF87Xm86MFedlHqte99rzV3XBtOwhh9xQRJDgIHE8W2oGyqpHqZYiaiBsU5cEjz1ShPAOmBZn649b6cajnFQNp3VluHC57s035tHadtlcoxyjjqRgh6N/Qjzg+0HlLp8/LWmDot8Hae0JSla0uvjjvSs5ZiVKdgIybUFLbpWI79YkFekCOXkGMmBLOWY+mGSQpOkoBiMBmiUEMjtrYyWdJbrT0i2Zwm2HS7iQj4s2KcMtwMMzsNnZBQITTkVdYh1f4hR0jxGWOKn39JKUXC0iZKWReuIa+I4nKOsX9zfzbO7swz1o1Mt5djebR2FsrNwFR1ioUOcwN+oWOIs/f4I5wtg1WElXs+Mxb3cXrNSCHdPcTp0FC7HbMNXzhd4DkZW1onC7Qn3k25NFJ3ha8frKTOPElbWcXtckCQhVFG/FFUPYvaaPBbsKcIkYeu/Z5kzehN7s4Ul5V5+sVXXfD7lFIBl5JprEnSJtZaj5/C6Fu/eNlHKgvTgptpG88uibEtguewiQcoZbSG/SHuJ2//oRPfX29L88Wa0qCFo0ySQxuGSrGsjeXSoneXCyVxCAqB150do/E9HejfULlaHBUC766pz/nAOY4ZWIc8E3RIMNFmXZDEPvevFxvR5pQ0jhlZjxJst+XLZQD5afx/39FIWXjrVUo47flHx3lU7txFDFc8l+1F5dICka23rfdkn+ageCM3ndGTsm025d00nwiL8iA+W3DQinm4vtWRER3+IDiTSX7F6Spnned1uy9StGAxw7vvm5F9yHDleW99xEb9T96rELU7i6L5rMAolg5lJQo8GRkwSHntig9trVgJx4JnyDgJVWbCfbVyJnWJmobB4FFYU9jOBVtXKf5bkKclSj8RghzIYhaK2OpkH1QIkX9++zuKZmVUoCPDXCtvTlxTzx8FdFHvz2QvOAxAd48+T1yu2gQYb2ZyReoaN55SFz30XlJFhvVbhmiihdavA9TdFA8pgIcSo9bIdlzOfn6715+jHO8nfnMGmE8pvq51M4vC96zEGGTXvY8F+pUzbF31A7BEDkVHaZb6mNY089f4gUrbmkf9SEwqKoVGbcILu2WY5prhJFYojAwhpHMnFFuF0zz3ItI9WEt0tTllcDDUQ5S9JiIAJk6yR0oLNDc0+GccjT9Uh/YJry6KjeYKYZdksfms3xjd2E1UvjLa1DBQXmPjhP9vYeagAMvKpHwWdksJI7LNF8wydcTTDRPLIhvibBNXrO1oDtLq1jsPgbNNHCcTvEnQ7kk98sORQtvL+ZOUU076G4M3PTzu/mBkh5eUXADWFkPf7lbyfeaBLAF+sLt/kC1cC9otfnuhb170TzeXC1/soLV1rSI2rvn18k/LA0z0GGnxT/amLi2rQqOwiweAmgkB/A1uOFBHsB43j/Phlh4m+dSE81MDMHcXEBUmLyZ+z9hAdIDV29gPqQ9teMbzyxRmaRSgxz9tVk+zMNLvEC8XKyCQV0z71HpNjlAXWmxspcY1UprzZmNUf7SXtnOSaloEcOJyv8WMY1tZIkzvqM3HsPsb/nsSEwak8f2cU3/1xjvR8pVzd4yRZeRATJth2WnJDmwC+WlfIiI7+/LmpgGAjNKkG1SKM/LWnWKMrzzUJs527dU1lWFsj2ReLNeW0x7beRnUNIO1oAekXrNEkH+sVxK+r8jAKpR48zTbbREnO5MHdAyM5fyKPz+wWv2sV9KJm3D+kZghLh/rkk/Gkrz/DVyuVgGtqm1Gfi0nCq0XFG6SUSc6ueVWM3MM+ane5i1Ah+Jqkosvt7mOrXy4qOpZ677u19VARaxuekpZ4I9gDDdbZl6o7DjRYHXJa9Ijhj50mcgph8HON2XJEsTmfnwatRin6d1tb7i3mbEc9a1kroLGdTv18rmT78gxGdPTnsDl8xc5MRVUByve0XEUHnF0kaBmp/Fhd17AXmGeXH2d+mhIm4M/UfAcHteV7inhn3F5MEn4evh6A6b+d48Qla2jg5ScEWzIF/x5Xrv/XZkUwfrWuUJkJVoHIMAML9pks9XpHS2sI3fxibWKNDQeLOHPB/QNQ680oYPqqAhYexiLYAb5ankeVAOU4b9SIA4fFceKS4Is/sgiPcdS5370hl0ITTPyrA9fVN/DQ0s589OFRtu+9ZLkno1DWIs4XeNeGK4Vw97TAFvVbutv9Vwu+LvKmrztTPgVxQ1kvhpYF6esrvh5u7h9Z4t+qQi2/WKuLVRy3rCNo4+B6BBgkZwvgnXF7NQHV0uekAVo1gTryT7rGWraQAK1gCg8ShIcaOJ1htRNVsxKpGIXVJV5dP3Fl+XPiUJ5F3eBscVNVO4X7SaKC0Zh6VrGTgWq+UvvIls3qBbDsYLFm0LDlSJFlLcIkobH1lmlRy8glLxPaq52pswB8dz+l2Kt7ymUKsPSXE4raLRC2pDrGBQn54zixEQLTwmPM2S8J23ORjAKhiZvVs67gxv+2MUeFdB711ZZKIdyrefAA2/bbkYopSCVj9z73mVrKA0+jmEBDxS/8btql9TKJD5bc3Kh8Zw//LM5yu98orJEZ7Wlby2Bx9mr7mBJTJdAAfZOCSYhQbMz71oV9z6WaFwOFxfImv1g598eLlWdvO8JrHC6VeOLvNbAIhtwC5b+qJ99ySrL7WBE7Trl2ijJJJe67ajkSHSBdjiRb/acl/RpYz2O7wKsS7if5zy8dOJClOFqp591tlyhd7fTUhVZ1VhNVO9jB8uh8gRIHR8V2raJeq3COX7QKbFdCsmsNSf1w6z3bEuUv+WXaIdpESfpNbuWxTe84C4NOJNK6loEWLUMd1sN+/ewI/xyB/36kJAr/9PGtxAdLTtnY43e8K4G1U7bSIFIJ6lbdg5FOpRDu9j24Pb/uKnu7xfIQQGXhnekLnmK0XA6qB8oyidLoDvtRlr3Fx7WN/NzqW8sCW+chcGxPQ1sYHcIOj74xVNGpL2vH9rP3ArBtkBKZNMQoqdG9JsXFcMdrLWnSMpRle4ssFjONwxWzvbggSc/azqftB3MEXeIEq6MjMUll9J1yWilnmHkAdeKSICZMUC/K9eJgoAFumNKKegs6WLwpVeEaHyw1MWT2friTVr1iGH2jsojo7ySyQ+0QyIkzWnKZdhqsZPNSZ6pq3WXZjbb77+rAgPpgNJ/UdtZoqy6xv48tKecxSWvqzXu7BWvKrF6z7xONaFnbugBse56nnq7DrvOCtg38MR2/SCcPo/fh14dxyU9yKV9SlG/i4T+SNfsP51gjUIIyoxm6spMm+YloXZUVRyQFJujYMdxjELFKIdxvHVl63bGvwro87NzLwjuzspNnKn+dt6ekzfU7VyvfAmBtb6pAsO/QWjzYmD52zXrxL60YPSicWo/uZepjfxMbKGkw7gg5f7VWPGoHVadz22AK959n8cocS7xxUBJUBBth1JN16D65tVOHovxi6PZue/p1+5d7rwmiq9mkDqBtgiLEVHWLbbhoW6EZaFDszlfd6k/4y3sI95MYhdass0UtqwSfs02RyNN/7wFA74cbOAjb2x+uQ+CXhzhfANEhsHPBKc3+J4dUAZS1mthAydh/OhEdIIl5YR9Ldw/E/8EmShq6Gtbf2Nrz29v2n7soaRVjjRS7c0+eQ5tsVVUiwvyJq68snqhJdNSy5w6uRedYyTepRaTNP+YyEqxKte612F1vI+cuSk4cz+fgyxs1+7OLHKOjVt2cS/VAa6pDufUc2UVK0u5Dey56HCR5FHlCiC+FEKeFENtttlUVQiwSQuwz/48ybxdCiA+EEPuFEFuFEImezu8NnvJyesOVkEPVPr72/0echAUqc1T7Z1f43Vi33MtwR6If4X6S21sZaRkp6V1Hu3/tXUEU2kmULtdtZOcXDXlndg6/zDhNoyj4ccYZmo47SnSAJOCSILpdNP/8cJTDOYoz2IjOypC7aqjgdL4gY1MG4pLJLLwcy7X+hY1MX1tI7eGNaTWyEaCMln8xR0AdtrQzjZuFWrxTAe7Z0dHy+xd/S6LH2o50+fIiJ/ZepFsdYYmW2CBMMvS6cP7YbX3ZLhQJXvvsNA8OWQ7Awv8d0CSrNwpY+v0R1s47zYEcQWaeMhO3zYmwf8sFS1lGLuiM/5JT5JrgzZnneWxTOqJY8uST8VzaoxiNBBrglpuVDjwpWloCpKkd3tFs6D2hlUVFWGjCIYjaprOCj5/fyZyl2UQHSE6dLsTPxspq1z0pFn34V+s8K/C/nrSHAzmC1AxBaLCB7zZqQwfEBUkevj7UUn6Ab0dvJd5sNpxdJPjqnUOAMivcetyzQPNmPPs10M9u2wvAP1LKRsA/5u8A/YFG5r9RwMdenN8j1fe5vxFvR+WXOwLk1RBeoLQ0itDa36uu9WXJjGVaLyn7BS+/Y7nl/iwaPNeaZyc1Ytya/3D7pOZEhmkb6f3Fox1Ge5+tLKBjijJCPJYLCTX8yDNB3uk8wvxgWtc1pC0/RXiQkmYvyA/mL+sKwOKjygDGYBAU1g3lUKZVd23LX/uVunh55DZ2DVXikUcHWwc/x2oXElojmIJiYRHC1d44ZPl97SbvUD1N8Mdre9h7oojD5xTdfMtISXJ9P5atzNaMgtWwILOWKIuIK08JTRKXdtUk69OVuC+AJfKh7ULv7L2SrjWV35yPLuaLtw9ZVC4770whY+oWprzWiQ0Biq34tWcT+eXPs5YZh1oe9R5rhcLf47eRWSgwCsmWDMd6MklFtXMsV1kEnXtQmxNi5eFiJberl6hJd0wSft/mGBOmUVXYtfOippyHLwpWp1vNVG3DH5wvgET3Mfo8C3cp5QrgnN3mm4FvzJ+/AQbZbP9WKqwFIoUQNT1dwxOnP9zudr83o/Ln74xyWKCpaDyZx1UEziLSlSWehKa/EWplWkeC286V/TOxT3yRZRe1TxYUM2Fqw3Jd2H1zUE0+mbKPMS3e4NeJO9l8RDtlyT2YrHEeAmWQsvFJxRww1yRYsruI65r5UZRfTHSIsm3d3kJOnJeWxBJDdygCIdxPce0PrRHMsgdSqBsJa487dpy2KornogZwcyOtY1SzFSY++zSRFpGS+uY1ole/skq/5cFPc2zyJmpVNZB+EQb0r4pRSBI3JXFyRRuHtQaVAznCrMKxCtsB9a3CXN1WNVSZCYQGGxhg9kdqGSlJiFM6vS11TZqF0q0nJSlb85gwN43nn1lLfjE0P+JH61oGlr1SRIARyyxgUGvlHIMnNLf4PQQaFBNjNcyzvbVX8yhrzt58G1Nko9Am9PCEbVtz1u52ZDj6INjKtbggaQlQpmTCgt1n3V+zpM07Vkp50vz5FBBr/lwLOGpz3DHzNgeEEKOEEKlCiNRcZwfYoMZ+doU3o7A97yVcdtXMtS28CPxczuQdOF+u5/ekT7+QD43OWQVdRTyTa9va9ap5Rbz+bHOnaQDLige3ZXDikmB+mmIfbT/tD8gL4eKJrpptfRLgyFlrhZy4pMRLOX0839IJhgYo54sLVyINVp13lkd6BJFYHRpUgT//yGD5CUFIgHDQyRqFVv1wdPHTtPmoo+aYC7MOkZhzhhvvrUWHLUkOwm5nh1Sq1gmh5ZfJHM0TXMy4xAMbk1ncLJVes13r3EKMkrphqpBStjVPqkKPO+NpG20VeEm9ohnc3EhKmomope2JC5IMfaMVfuZphH/TVEusF6OA+mY7/b8eXM/0z08woD580GYdEeFG/uhyLRm5WMweVVXIAw/1tJQrs1CZSVzMU+o93MaBNsQo6Tm3Ezc/Wo+4IKlRJwUbYdRNEUoSDS/y6z59lzUsgy+zRnVme7ZAWKwGqwQoiUo8JYov9dhFKi6uPr8lUsrPpJRJUsqkkFKW4YYGnmvrWNjlj26cP6N1hV7PmRoqtO/ldWwK9oNmHzmZB5cjIVF2b0FcCAMyjvnkTDXu0Ro+vZR7hqZYPjv7XXCrBUzKfNzyvVmEpP0nyZbOUf2NSUKLZ1pYEkXUjDRgFEonmfH3EWa+uY/pC/vTpH4gQX6K8DYKZRRobypnb4v+eZdenJi4SbNt76YLtH/6CCNeu40TkZIbm2rNWw6ch52p5/m3XSENwiQ/LMvleHUl8cU7Izc7CLlRXQPoWkNSLQBC/ZXnr1rWvDnzPH6J0URtT7QEkzv/TH3CIowczRPEjt7L2QJBcdVACgoUK5ylxwWxnycxcWwd+tWDtacUB6fUDCXGfIo5YcnK3YW81m0te7MFGXnW+uyc055PF63npobW4GFdawvm7dOaWQKM6B6MX77gwg7HIXLdKpB1Uhl0FknPaTx3vlOXKe83A5zb+zsLIvdIjyAGPqmYreYXWx2rQgKUc6R5SPZSUuGerqpbzP/VIAfHAVvpUdu8rVxp/65T71sNW/1rl3cxPDLq77UVer0bBkY7bLtvaLcKLYMzjDU8ZNooYwz+2ma+bvJW/q7jPuiSA0ZBQqj1BXZmr23L3IPWBby72jkOLOYPfYIP2t5h+b7rgqBd24c4nKOoWB7vp9TR+XzY+Po2/tyhjDoNZrXGqVz44Z8cJRxA1d+5kGVijVk/q/7Zqw1sZ1VGAW0mniTtqNYNPibGn/9+e5Y3rv+YI3U20PS6Gpr9qpBsf9tuerYOJLNQ0OrdMzQIU8IYVLOz0gkINhJXTfEWDfLHIZH0hVmH6PxHIbWjlE4pdmcREdHKEPXtP5Swu3MfSaVOYpQlKUbk/gKKzl2iTfdoi12/iiXWvc0jP33Jeu/hBcVMvGk9YnVbsosE/RMg6YYaTmeQG2e34Mvr1vDnogucLdCGhE5ISeJ7cy7d7CLPXqrrIqtx7Hprsnf7Dt+ZhdeRI5dYOf0g91+n/E69B1Wl5GmWXFLhPhsYbv48HJhls/1es9VMJ+C8jfqm3Ciac9jjMS9O8PFlLgeWX2xZodc7e8DRE+7hFh9WaBnsOZgNC17bWaHX3LtJG8D7r/2+x7aZ/9MJCmy0Dmo4WlcYhdUyqHarKg77P1t+idXp2jL81vdBs/chrFqfAygByFanFZNfLIjylxb7/JggRZD16BTGgRzB7F1FDi+7vcDJNVlHq4EGydyfT3ImR/ujeRvzMUn4ZEU+hy8KNszWJqoe0imIw+ckC1flkHa0AKOAGZ8csdhc24Y7AIhqGomfUel0rhvX0iEi6Lezsvh7/DY6DImnb13YPXULVVprByUpZwTL55ymgbka5zy5kW++TeecuX2ruujkGGnpUA/mWMthO4NZWFWZqXSYqzwc08Z2FGTmW8Io2BLQOJWsQsF1iUGaTiTQALWP+lu2eeOYd/ftKXzXYp3lu31Gqm4JBo0fTIhRknlR+b5wVY77k7vAY+AwIcRPQA8gGkgHJgB/AjOBOsBh4DYp5TkhhACmoVjX5AIjpJSpngpR2sBh3gSC6hIrHV6mssSbYFgJIVLjxn05UANQXS6SYyRHsx2FQEVT3sHLYgMliTUVnfuA+spIviTEB0tLgK4xA8N4Z7b1RY/yl24Tlzx5fQjZmYXsO1JgGe2pgb3aRClBsOKDJcPvjWXqp84jDNoHOFNVO5mFysJnuJ/79nRXayMztpkwSXhmcDhv/6EI5LuOtufH+A0Wu/nDGTdza6d5fLexyCHQGyj12SjKOmpV33n1OapBwtTv8cHSYl1iFJBcXfv+q/c1dVpz8jaf4X/fnKZTLeV5RQdIGlTBkmkqwKCc0zaYGCjXLihW1jY8yR9PMqpZhOLluzdbaOrcWV3YUqrAYVLKO6WUNaWU/lLK2lLK6VLKs1LK3lLKRlLKPlLKc+ZjpZTyMSllAyllK28Ee1ngjVNMeQp28C6o1+UW7FAxdubuCA8S5F3mMoBnM7LSEuYP9esHEWgouWAPNChOX+oIfG2KdiY2ZkpjzfTe3vTx0IE8jp4s5LTNaHlvuiI1zplVHFmFcPBlqybVfgHVXl3xzEetNKEObAW7mmTclhnbTAxsrBzz2wLrDKrpV5kAdKkpOZUHT609zckziurJmTB7fGoTzX2o77zaQauLrM2jlO2n84Vm3eK6Ydq1JvW+Xn58Jx98fZrMQsE7O54H4NE5neg6rxOg6NPVa9gPSPwEXgl22/K6IqdQSb4SFySpbRMy2Z1g90Sl8FCtDFxuSxxvKe9EGJ44k+N+tFlRePIoLC233BDJV8tLF9vn1pZGEiKsgmFzhjICVFUIZ1ee0CySNp3dURPU66/9ksVHtRYyqrpCHdX2aWDgt7pWlaW6gHpbC+eioXBPlsM21QJmyRFH9YRJQlaO8nLYDm7Gj1d6vNgoPzILBf6/H6HzV4pLvm2HpYYFWPBwOLff59yZMTZQcj6nmBCjpENbxTxDTbGoMvUd17l9VeHdscrrABSECJY3V8r80lPWazYIkxrVif01SsPRPIHRAA9/295iE2+PGiysZy1lcdne89YeXbhfxVyJTlO2YVMristRD8ffbugxL2t8sHQIIHVHS+uKY8ay1gx6ozVxQZLEqoqN+Pjx9bh9fFMe6BLAmpQczcg5epZihRQf7vx64xYnUyS1tu5bjxdbYoUD7DlhUmYM+c7N+5b9pFg624Y3OHFJMSfML1Y8UgEmzLOaWHa9JQ6jwCHcAkCRWTpm7criVB1lSmfbYanCs9/MAlZM1brMqM/1iQ9b8dd+JWb7tEXWDtU20Yg3QlgV8rtGpND/BaUzWD3BuqB8592xdG3q3P7QmaC1rb97Eq2L6q4ip5qKYdLtG53uA4jL6cpNh5Lo+X4SLWoZuWOkUytzC1eFcL8ShdiVwP+HnKze0NmDZYsrbF9O25c33E8yoL7raIIA78e0t3x2FTBu+L2xPDKmrubFb/GcsuhuFLCr1kaeu6cVeSb4cLKJ7CLBLc/dSdHxi/R6fZdDQLRXJh7EJK2B0uzfiwNNiix6Xcu2HKuKBayd71/7JXVDHcsdEaJUSmah0HRMqmB8YoBi5bPsAcUUNMQo8a8RythR1akV6+dQpkKzMf6iNReZ21px4BraxeqXsDdbkBAi+Xb0VnovUOpcnVU80sd8nLmh23ek3iY9txe2s/ZJXp12EqOA1sP3WrbnPFyPn8228jc3EpYY90aheBSr6Q1VHrnBahVW/1Vre6jrwlgsLdfqjWrbJlQGp5p4eN5aMj7fxcF0E2c22/uWarkqhLsuxCoP3sS+LmtCAj33/vblMgqt7fLt98URYpQkhCjOOPG1AzVOLfasye5g+dy0unKgGrJWxT8mhPlfHLbomgMNkPY/xZKoZ21lqv7K4v00qAJLopQ1s37+a1n32zEOHBjscE17Qaa67KtEP6BNfu0KW/d3ezabY5qYpDXWvOrIA7BghbLgu8PGlSFl+n7yM/M5crKQeztoR74GswQ6lWfVac9fp1VnDbw2lIhA+PK+DTx4Qzhvpz6GUcC5dMWMc9EU9x7s9kx5p4nme4dYx2NUmaKGTQC4GGpNBhIYILjr9hhAmWnkmgSmYm19fzbfuvhtzLGGHLCNu++KJWu7WbJeqYOM1DvXsvxCC/wCDSS3DiZuYF2356gUwv3hbh5i/upUGjZWfN4Mr1INTts/gSlvNmbSywk0DpdkXBpJuB+WEAHzX69NYlYSjWMEkUGKqaC7tYPXWz4AwJTXG7E4TdlmvyA3+ZU0Us4IFpt9uvOLYfuBAvonQN1aihB8/cZ1HDgPE4dtBqBZgyWcyZFMe3gL4NwETx1Rx1fXjv7sY+44I9BgVbnkFzsKwqN5gpsaKouVfkbBmA3JGAU8dHs1Jv/anl0XlH2quijcD3aflqxZkcXxC7Bip9au/vAZRVqqkQ8DDXDjNSHm3yrlqNYplq6dwkjLFUQNaUBr4346X2jPb9tNNAhTYtPYYztDUENuxAVJ4oMlxQ2sSXwTQiRr7RYtbWPSHMgRFmfA6FcOAfBU/1CaD6jFgPf+Q7MIyczT7wHwxx6tcFeTqgCIwmLuam1VudmbQtpTp+A8Y4ZWoX1aIi9/3QaA1Sck77y4hzPHLmGY1pqNn+51e45KIdxrdCpn0wadCiPfx1SBZYE3arv760ziQrcojHUUu/Fpn6wmJtiqpkgNXU/P54+Tm+/eNE1Ftc4qPHWREKOSXMN+hulsxplyRpB8Wzx1rlec7vKL0eQ4XXxUSWmXnq+Y/b00paHm99EBkhpml2+/39tp9tnH3HFGiFFSx+prw44v9zscM2jWSkKMktm7irhpy79kFwl++O0sIt/kcF+NopTF5ZWnBOcL0PgK2PLUF22pGQzjPmhOhy9mAFZVT/6RbE6lKeY9f4zeTKfG86mfodRNv47BFpNMVSiH+0nGDLX6FtS7YQ4AD/2nHjdu6MhfI6325kNuqEJ+sVbPH2JU6sG23YQYJa99c5bhSX7883srUmYe5ev0X2mX4EfRvIcsxzlbUA4oGMzxj5UZWVyQss4y6mll1P3sbVUsZVYTpsQFSQ5HpxJxYwIvf7SKX5/aDCidxYUiwYHjhZy5PZVNR93rnCqFcF/+YszlLsIVweVQaZQ16ovvKi1beeBN6r+N5wRvJqfw8qjtmCRMfXoX27OERlBN+d8pn0zTwv0k7047znWNjWw86f39vv/uEb59+6BXndLF7VrX+MxCQf3qymsdfL+jusI+CqdDbPXOQQTZaE6KnPRArzV83uKV+fciRadxNE+w/IXNDseuSResWp4FKJ2LbWRDUNL0hRglhTWCOJAjeHVUQ/YdeBWwjtw/++EMC/Yoao0tmYIlR2Bpc8XK+tdVeWQWCgY09ePZvxRrm1kZ7zF/YZZlBrO8muJvOet/h9hZy8RRs6Yl3E8S0U4ZOF6w8XnIKBB0iLUm84gJs3qgHk8v4lzUGiUvbLf17D1RxNevW1ew+9bX3l//BOiYf4Q9By7RZHAdzhYI7rmpCj9OU6aTc/5W6ibSH3KKlOfxyJQmnLgkmDVmM9+tj3EwQggLEszZbeKkB1+RSiHce350wfNB/w846ynC2hWAt2GVG1TxfExZURJnpbIwbX3wBuWlbz6wtk+OY5mFggM5SscS5W9dQIwLknSJtXphZhcJ3vgpUyOgTRKCzcPHj5c5BtxrWEOrqrHv+HIuFGl8Qv496DjUvuYaaxiNN37KtHxefNThUEzSvY9Jer6gZ13B3jGpmCQ0ip3Fa73Xarw+MwqsmZ7UbEVH8xRnH3U2EhZhZNINyoj85SajOZwD/VopvdT0hkpHsPGc4GKDDZbfZBcJxr+033JeW/o82dhpG9hwyurItPKUkrXqx63WOtp5yvqjxuGSRrM6sjJ8AytOCC5sVRYi3vr1gmVR+5R5eaFhVeWdiA+WLHh7D6DM0N6fr1Wl+QlFzWiSjoHh7KkUwl19AP/f8WYh5nJTb7d3+VlSMyruXjwlEi4PWkZKWry2gOwiwfwvnCv9bWcvjcMVNYCa8adnLSXTfYMqEBqq6Gofmd6OOjF+Do5o9oLJVtjYEu4n+Xm7sk91eLLv+DYctC782QpPW362SzRRWoqL4ZcdSrm2ZCqdWofqnp/Zy9OVQHzJMZLv1lp1+avTlXgv/vaZtPG+3c1/d69llrP/rPI/saqjj8aJ89py2tqon7kEc69RrIaiAySRQxo4dKbqjGDFCUHbfztyOl+Z7bia2aodjjc29pVCuOtUHtquu/zRN+3pVqfiO8UOjQN4q3MXQImk6Iz8YqsFzbFceP6+aAKCFEG+9Lig88JObDsnOHqykOQYyfe3hvLzdpNmoc4XxjxlNTRXTRrtOWVjqNIowr2A8QZP5TQKmJ/mKKhGLPmXYX3DnP5GJa+esriQcsa5yeOBw65Tn3nq8FenC06YjV1U5ytnserd+W2oMzBQOskZj21y6BzUcpskXLxjoznhOfSoX3rRrAt3nTJl8YPrXO6zNwW0paSja9X+XBUizoRJqy5VHTeWM/VvSbDMtFxZ1eSaBKqFXK5JsGv1Wb5coahSEkIk+25NYXBzIwaDErbh7v+etFizmKR3gtOWFeOshgmuksqrZZ00oR77KmCm6Gr0eezHeykudN8mfr1pDQAP7e6gCeqlct6Ng7A35tPexD9SE4p4YnATwXlzX2OfX1fFNkPT6rTS6wV14e4CZ950Op5xt+Bon73eFl/04rYvxd5sxTRPDcfrzFNQXAYvt4/GWG2Q3QkSW8H/xx5pGcml5Qo2nZAs2FPEP0cUffb48Qe5ra0fjz+jnNt2cdSZSWSynWrjlA9hjj987WCZrDuU1AdlwtQ0PljgfpFJ1Vv/m+BniV9j65vgKiuUUi6to5erwYWzRONgNZGNrupH/wS3xQSg/ejmlsVktV4T7JzEnh5h7Xy9sWzyxFUh3MvDiqTBog6eDyoHXPXqJeFK89xVo/WVlqj8vprv+YXSMv11ti4R0sYxrv3gJr5Vjq8p+b67ONC3HzjBJOHhu6I1AnLroUImvnYEQOOh6kwQX7LrTH1Zs7mckUNt8WQP3jJSkh21mvQspQLu7xXi0jqqS6zkmcHhBBrguceUUAaq9/Kic68S5S9JipYaYf3AbdUcPIyjAySnzP1O3a7V6fBZssf7uLj2lMM2W/28UYD/zQnc3Mix3hNsAom99IDVctBT3VwVwr1p/bJ3ctrRw7V6oTwZtlfxRFSzS93UUNsAfKF3nTIrVpmRnKB15LDPI+oNYZELNN89OSkduyHCYZuaeccVyTHa2CovvpjgbfEA6BTiOkaItzSKUtLm2eJLbB5nI9eetSqXOe0b+/60fHa2yNh/QSeO5gk2m6vph2W5vDC5kcNxIUZJ0sJk7mx+ksdTkvnjv8rsZ/c55b3af6Ep6Rfv5mIBrDRncwoxSoouOVk8zrmeE5eUdY/jj8fxXXfP8mf1ogzLPTgb6ccFSdIbQN361tALY4dXA5RZnNphzfqwgWV/85PtcUelEO6ebKL/THW9cFJS/I2ejykPak1TkiOsMzso1KxhNToe94Jv0lptpFcScklby+cTlwQDH3LvQu0MV6GTXY1kaqQ5NnP7kW6gAUZvso7AElsEM6yjUvdGAa++mkb/BOUaXWtIhie5XzgOD/yaZwYrppCTXk5g7IpObo93Rr04/1JZSDmrj1oxpVvwVjuHqR+34IEujjmBnQ1ARnbytyS1cEX384kWATblJ6vz1T3x1jALnWoJzTn6nmsHb+8GsMR5ySwUTq3rck2C75JSmCta0rXuQ/QYqHj4ZhQIAg2S33oP4cZGP3IqzyZOzm1Vefe3CwTbVVlGwELAHE9+9C6GL/Qc/XP5CSXrU4ABWneOcth/NE/wWYv1/LHCavrY7NEVPH9nFFH+kuqBSmcz+Jk0y/5CD9K7Ugj3YA+CtjymkKtPXp5p6eT3FOGu6tw+W2k18frjEy/86G24HOF9PS2Mtp2pfRGmve36nrxxPrLFlZ5yx9PrPf72wd7BRP5kzTo0JyWPWp1i6BMPk75oRYtIydrjkvhwuP6ZJvyy+gaP5wyurozCZr0YQ9BZ380HazV3nHH4wsg5jh3KT1tKF0z/0h5lZvnjiAjqjGnFzY0EUz9uYVG37c8drTn+wb1J/L6hgHY5HTRxyu3pMHI/H+5YDkBRqvMYFS2SIjS23ckTTvHmTMUUydY5ytUMN7NQMGFqGm+2GsHHi63tMNck+GOPZOFh6xpIQohkw8pMTBJ2nXf9Hi1YkcPbg72b5TdoFEx6vuDDmeecdnQmqb2P9SEjGPbFI9QKVQY0RgHvfWZNbHcm0P2MwWMmporAUyYmbzItXQ3YZ725qaHgr/3S5f4rEdsMOO64o6XRYnOdWFVqVAiNwyV7s4XDdnuGJ/nxTapnoelN+3lwbxKfN9bmlkmKlhQe7cSWYMVWOdAA93QKoHqTCF79yvsk3+r9lAVX0rsQ5S9pHAmtV3Xg88apRAdIHh6hzepUo6APpwIW8+xtVSyC2BVGAS+MjOGVL7TCPS5I8QHo1cKf0xlFzE8rh5uxY+r0Vrw8cpulXM7qPDpAUiUAl/HX7UmOkZZ1Em8ygcUGSp74X2teHrnNHMtdme2qWae2XXyRvwKnljwT05XAldKYyxt7j7MGTUM03690wQ5anbor+taFtTbOMl07aGOgHjMvVu3Ict/4dx92NL9xZt3gTftZl+w4ut90VhDZwOqNmV+sqAB9EeyA14Ld1nIj0KCduUT5K0GvBjYWPNYrqERrFb6UATzPnDILBSlnhKVTzCwUDun6br9ZMVf0JNhBeU5L/3JM99fxcCLzMl7im9Qiukxu4/S3gQYcYuMbhTICd2Xxoh4fGygdwvU+dHdnQEkWkhStJMaYPDPRMjNtECbpciyR9nWNDGvrnQ435YzVPyG7SGjW0+z5ZfEx0vMFf7+0FYDnXmvCQ/+pB8ANjZXrTc382+31KoVw//+CvRD6aVHJEuNeTo5meJ72N20aohnd79ypNXlT1UmeOjP7eOYATUto0u5sodIkHTM2lacVifr8e9Uz0CcBHrs1kpaRkkkvJ9AgqyMPPFef0Sn/pe/o47yw8wePmXhKgppsGqB2iJsDneCsE7V3n/eEs1AFTZ85zIWvJgMw7cHNDvu7x0mevqsqj75Q3xIHvXG45M42Rgat6sTDf3d2+E2zCMnIuxTLk65p7Tm7pq1lX3ywJO2BJwn3k0za+wMv7fyCvdkCYZI893ZzAH448SqNDgcQExvAqaVtHDoH1cLGPpaPbQd0Idd1A9+zW7EI22IeR1zz4CMkP/0sACu39OKOlkaCBm11+XuoJMJdHUFE+TvPDnO14mmt4Upk81nPwu+DBbkaQeAsJklJcWVnX14j3fIgPNRA9Wh/CrKL6NA4gJZPTKLNScm1Tz9J/5B/+e75GFY/8BBnHEPHlBrbdZqyUiWVljd/OMe8zYrporN1lRrr2nPt4ENcuLE6mw4qs7kGaYlsOFjE4TvWcd3BFYB2VhIaAAXZynrWiXBBRIdNgCLYH3y5Ef/56F6qBcDOd8YSN74/AGtf2kSHYY8DsOir79l75zo+WnIJQ9uN1G5gtXIBuOcnJRPVwE+0GhM1midYY947WyN4+fGdNAhTEnA/1T+UuSPG83X3J2kZKXlk8n6avpbI75vdOI5QSXTuqu51cBNBdq4sU2FwJaLq+FTd2tVElP+VkUP1Subx64KZtiiPER39qXdjPN/89wBpFwUTZiQy6faNTkfI3ujir9Q1m+gA6XFG5O5daBkp2XVe8EifYEuaPbUOAQaebsfq2hvp09jPss4THywZdls0r31zlpsbCWaZTWMn/tWBiTcpKjpVR35Xa6PLeD0qcUHSqUdrXJDkbIE2PELPWpKlx63Hurp/Ve6lPnSYpE8Vq7KeWYlsq76BJ19uwPjxB3m1qLhy69zVRbU/9kgOZTq24PKYnl5O+imqtatOsAPUMA9wrjQHqysJVSjN21LAKxMPWiJE7n11i0sB7iyVn32Sm+efdJ5guiLw5HDjjkCD8i7Y2+iHGJWE1WfylI5t2Xqres82l2pA9y3kF0O99pGWbUfzBIc3ZQEwx8Zo4eJ31gQY28xZ7DwJdnAdquDEJcfojbaCHVyr+s6Yb+GF163moPcc/R+5Jpg04aBHy7RKIdxtcbYyneN+dlLpmHvwcpeg/FDttu1d48uTER2dJzUub0rijWsUVr+O9HztiM+dGaMzFUqPGV9rvr/xwQmHY8obdTHTnTt9RoGy0GjfAYQYFZ8CtQ7O2UUjyDUJ6hxrT1ahNpSAPb/uKia7SFgciVTO5zgmF3nnl/MWvXhZDa68WdAf90RNh21H8wSNwyXbaljDRuwYf51lllbgIfFNpRPuzjh7hbhKlwX2DVRtaC+OcHShr8yoC2fq/XobgKkk/HfFCK+OK+v1nBuTgz0fZIdJWm2tk2NkqWaliwbfq/l+OVQy6qjUk4B7eb6jC3+uSWCblvS4k7XZpZEbrbFaot0/wG63amcuTVqGOVgEmWTZxHXxFf8YbVtRQ6rc3D/SUh6jgHxzpLlwP8nNzdzf71Uh3Muj0T7V30WK8nLk5YeqM358Pcv3NlGS19Yp+r/UJb6Z35UHZaX+so2Pob70KT540/qq0vlgzGyvjguwsRSxH0WWpPOJG1DHp4xT9iP9nZnameqoHUq8I287oelrK8+U9pOb1zpVbdhaz3jSy2857l4QvPexduayYnW229F5y8iym116MisdP946XW8TJTlpNpQLibdmefrPHVH8m5rL8++14D8v1OPxgNfcntNjMxFCfCmEOC2E2G6zbaIQ4rgQYrP57wabfWOFEPuFEHuEENd7Ov/lxiiUim8Woc2ZWHVUM4a1NVZoOriA3rU5e4si+MaPjmPQD8nMGqKMaFYek5cl6QRgMfOKCIQpP7QFYNfF550e28xFDHBbBtU+4rDNFxNDX/0epvzPMWiTPUYBTy3sbEnUbC9o2vbyLdVjXJDkVP9IWpxzutblFHvnLzW2t8rAa5QBR93Qy9MOypOyGC3nFMGEv7UzANt3WnUaUtuop8QdvZJDffaSdkXTKp6PUctaNcSaa/bIv9bs3zf0TmdLpuD2+2/grheH0GGtYxpFW7wZA3wN9HOy/V0pZVvz3zwAIURz4A6ghfk3/xNClIlB35BmBsYMdB+83x53QZLuPdSecU/UZHuOIqS2ZNxNUnaSJWbIG0PWM3dHUYVadoy/bSPnhiv6ta8+PU7xnCOWVfxck+D2jmUfIA08j4QX7FNaWmqGYNurim3tr38ucFq/B80jTVeOIwD/+SzI7fXsnVHsKY8ooGNHVadB1Ee8+EgN5mS8RaBByX+pBm86sjHTp/PdtqYTW+qa+MrY0+OxNzUUDKgPj/VS6mVER3+i/KVDJ7ZgSR5GQYlNIC/XIra9rbct7tqJijpTcTVjUaMmxgTBvhZW57jEqpLR65IdFpu/7b9BE7wr3E/y5PVao/7bWhiYsewi5N1s2Taioz/xwZIpX7W2DLTU8k+d1tztPbRIUNZ9/jPEdUiJvhlKTJ2lx625ZtfvLbB0MIdb7QNgSK03Wb3jXuLDv3V7TY/CXUq5Ajjn6TgzNwM/SynzpZSHgP1ARy9/65bm19fg4n+baRrKpAn1XB7fty50/sHReUEl4f2TpE6sQbPQN8g1CQICfiQlLJVqccoLlmsSl8Vk7/vNiiA9mieQJu00s8t3sxl6IpFnb6tC/7PtaBaheM0lRUunoUKd4SzH6SN9gt0KTFs36Zk7zGUqKHZY9QdFRRbu5960zd4xyB5Po7h+r7R2sAQB32PR2OJ3Y13WPNGZlkPWMe+RVwkwSPZmSD75vCNP9Q8ldb9vKo6IM1A/A2b8tMBpgC1bioslbbpH89VyxTxiwdYCqjrpx99rl8KD1wa6bZdtoqRLIW7roFSR9OhRxeWMrmqg504nwCAZUB+GtnY+TtyWOYIXhlUlPkowo84GWuZ1IrxgALERgoFb/mXZmScBq6/DwYeqc+eMHZbfd01PpPDdFpbvgQaYtO5Z0vMFw3r9bek86t1cl9hQEBeLeGhQFSbPTORczlAGnGnHy4/vdCx3gWLl8nC3QGp9oMzgjuxS9C1T3mnicHyX7x177V3nBeHmwGU73usKKA53aSdGepztlkbn/rgQYqtZbRNl3lYLsLVCP2beVmomv3eCT5uuZ0+WddtfH7k2K3nmjRxm3LjG7fnmV9vksP2d2VeOV2iO3QrSd9VeZMyMdZw+eJEu3+Ty7KoUshr406yOP4n/dR/+U6VtA63lSKBBMSHr90prpnzVmih/qYkf7YpxI1x7x921vUz6c5d8+vhWFm28ZBnJqbrR5lFQp6CH09+oo2JXfDZ0HdNXFbBnZQ/e+CmT7CIlRVpA+DzWb8yhU1P3AtqegLSLxB3353+PbaXm5HZuTQHnHoRXv8qw6H9PXLKmZ1NHmOozyTrnOpZO43BJXpFrtVWuSTB2eLVSLxyr+VdDjFanwgnzXD/zDWvOsyPjDia9nOCwb2+28Khm69/EyJDfNvDkHYrwG7/QqnoJMUr2PPMqbR7YQPUoIyYJfXZLorjI8qOS1vc8QvoLL/PyQ9U5lK385t/XmjCs3WTLOYZm/pedfdYRHSD58sDf5BcrM1NQAvfd/4ISZveDSftIzRBMeGInD307iqVPb+Cujn8Q2mMLoMSLV2kQJrm76xwA1my7xOJBiixSB0d7btVqIQINMO6pXYzZkGz5DsqzNEml0/7xT+sYe/Kg9R6fo1dOTEKIBGCOlLKl+XsskAFIYApQU0p5vxBiGrBWSvm9+bjpwHwp5a9OzjkKGAUQAe0fd+PEVBLnC1snhsqKGnBqUHo7/ox17IjKgoQQSVqu4jU3bGtHUrquY98F3zIj2eMsCFd5o7aRBmHSqbnsPYl+fFeKxM5toqRPsdR7ZiWyNNIa0902aJQn4oIkcWFK4ujAI0kcrJZK17T2/FZzI9EFfS0hZ70JPlUeTPmpHePu3ERCiLREMnRV76CUc1jXYB6dO4ZWoa96dQ1bp6xAA3TKTKTlUT8+abWOp2+N4K1fLwDKaLxxnB9/7DTRt7410F6DMEl0sBKiYsr7zZgxqgrbg61xgppFSItZbkKI5J77arL095MWD2fbQGfD2hotM2qV0ZuSea9dimabrYOeN45Ztqjl6RIrWZ0uLKrJ9HxBy0jJ0KfqM2HSIQY3USJYgtJOHs+RLp2YSiTcXe0TQowFkFK+Zt63AJgopXQ9hMazh+rVSnyw5GyBoz2tvbdheQpLVbjHBiqNsbRB2nyJWujspQHX3n7lydgVnXit21qX+wfU983/4JGdHfi4uedQw84INEDNIElOEVxT10C7d5K4ce1Skl4J4++zHzHnjv8wbVHeFetxasvoG0N5b85FEkIkVYPcp75TsfdGDTTAi78lcbGGH6F/p7PxxzTyCpQQve7qQN0XYpSYpPMk2s4I95M8+2N7dk/d4tKBqVmE9GrW4S3O3puAgsH4Bf9OrklYhL99hNEy91AVQtha3A8G1GXb2cAdQohAIUQ9oBFweVIaVQKaHU+krRPzdfuHXJ6j4FuvVxZ4sgqdN1RfrYXs80K6Y9th5yPpW65VFremvNnYp2uXhqN1tTr1kZ206qtOU9r6tJBbUsEOikBKyxVkFChu8QsfWMd//1Se00/XP0XGyQLuOtr+ihfsAG2mKHFd0nKFV4IdHAc7+cUwYXAqho/2YqwVyqx9kt37etAmSrqtA3Vfrsl7wQ7KrHXS7RspciO5o4J9ezdsVTbOcHaple/MtESAVGcZvsT78ThyF0L8BPQAooF0YIL5e1sUtUwa8JCU8qT5+JeA+4EiYLSUcr6nQvx/Hbk/1iuIj5aUQ/QnHwgvGEB2wFyX+21HFN6Myn2Jh6POGlzR/FJndga5nfSVGfbTaPv4H3e1NpLQPsrncL9lTaABxv4nns6Ju7j+Dt+sx8oCW3WGN3SPk+w+WzpTR1W3bCugk6IlXf5J5tN268qlk1NH/e5iIfkycypJTP8HugRw4HC+U8MFlVKN3KWUd0opa0op/aWUtaWU06WU90gpW0kpW0spB6qC3Xz8K1LKBlLKJt4I9v/PlFSwO4sjohJilF7HlwYYkPi35XfOsBXmqhOTO3v76xt67qTV37sT7AAHQipGsIOjnf1+O/uwH7eaWPiX8wxBZYU3fgz5xWBsWZUhwxSb9+gAWaG+GDNPvqT5HmKUbherl58QNHfjXO2NeeatLY0OQjQ1Q/BFYgqd3MymXFnoqAvwt7VQ2qqz96mXOaPlU0+7Tm3pS6dSkgibX6wucCvYPXHVDpe7xykPzCisDUjN41iZg1bFBkoaVBMMaWZwulretbag2EWjcyY8ftnhfdo1dcQW4qbvcHVtW7xdBLR9eUpr4REdIH3yOHzozRYYhdYO25PTS0Ux55nNljoctbAzz3xgXQrrEiuJDZTEBZUsPHZyjJLAOTZQ8szgcCVPqZlAA7x0cT5dYiUBBYMJNMBzf3ak85St9KwlLckn7N+v0ggogNRDztV3uSbhYFbbMq+T5fp5Nj+zNaEev/sHbmthIKKKH0YBtZ2Ynnd5WEmy/fU0R4e7ykKlEO4lCcD01mOKDvXBawOZ+FojhrU1cl+yP88tTKZvXaURlyZSXXkQaFAcWmydeFTniuQY6+r5P0cgNNTgdOTwzxFtFDvbF7zniUSH49WRub0qJdAAo7o6mv+1jJSk5ythUJ2hOl25w5nQsRcI9h3R03c5z8Jh71nsimmHf+ZiendAUbm4czoJMUq+HbuDKH/p1N68vLDv9LrEau9t0qwOdImV3DTZKswDM4u4tPkMU6c1Z/Kv7RmVMpdXtyzntT1/Me6jFpqwCeMerWH57Gr2996LJm7/bTN/dplJvy9f4dr5ksm/tmdIMwMv/9AOg4QNZwRzfv2BPuntuH7/GtZObMMjG37g2fDXmfpZS+4+2N5rb2pvFiQPX9TWi7vY/G/PWsyEGUo7T8sVTByrjLxr77C2/ZoDznDT37/xxeoC7kv2d+p3cXTOYcs5KpKJY+uU2eCzUgh3b3Jy2jP7uPJQP1mRz4m/j5J5wcT0tYUc+k8q89MgOlwQdnmCBbrk5beasHFnT/ZfGMFtLQzEBkru7n2eYYfbw6EOluNMEpe5Q+1fFqOwbphd3bU5ZWJVrSC5oZGgVm9HF4UP0t4DILpmyaXeuA8cBWuN/F6Wzzc1tGa5V71gX//e0Y8uKVry/Na5pFyY5LGjfjD+Dg4FKot7S48LDvcNcfkSJcYo0+j+Lf1LlbBCnSXaX8fbl3fk8uWM/z2JMQPDeGRnB9Z2LaLfh+1pPWQ0AE9s60jqsxuY90s6/XYvpmH1mXxzzQDGte3O8LoD+fa57VSPtjbyAQ2OYRRKELq3Dn7lEC/HKGDWhuq81bsNNeat4dMuo3nt3k2YQozE1gwg7f3t5PorM6of3olgSM4rfHFTJ6YtymPJbSP54veZNI//h8BC4fOsQa2TZhGSCX8naxYg7cMtRIdrwwjY8smEcD4dFGn53uef5wD4p5bVLPXH737koYRBgPP4Oy0jJdNXFVjs+csCb595fv84/MpIuFeKZB1XG7aLdy0jJZ2aB7J2Zz6Zp3sz5OYUorvH8fyYDtThNO2bLib9gqRmpEGTLLusCTTAIzcoZmtqGTPNFjQtIyVtE/z4frOJF0dEe7WoqNrrOsPWJtoooF01SWiA1XPV1n7bmS23urCbFC3pf2ccCQ//yqiW15SZWZqzxbSSJBn5ZfExivwKiWi5gAHRD1u2T9+9jIntulsGLUnR0qnK56UHYvCvGsTyH47QbnYnPum4lufH1uPkipPsOXCJUT+k8Uy/BE5cUuyja0cbrR7ETpjybRv671lFrXHP8dFTv/L+9HRN3T6zPpm3Oyi2264WTkd28rcIRGeLhC0jJds95L51xuSZiexNFvQqeoXDe8ZzqJmJb+spoThqFPTh8c9OaLxAB9SHxWnKc+oeJzWj7/hgyYNjG/D5aweYl/GSg229p4VQdf+Lyzrxag/X5rEVgepf4cyYIbGqZMjpUtq5lzf/34S7beOyfWj9E2DJEes+bzLGVxTqC+SNNUz3OEmftxMZd6dnx6twP+kQIMsTE5+L58LuzAr1Jn5mcDhv/5Ht02+GNDOQXyhL3Sm7EkZtoiQ5hdbIkZ46IKNQQuv+dsdajwLYV6uY0jKqawCBH7flf63X+dxJOxPCmfkjefH6H0hLu8T8NO3xlcE/QMWd892YgWFE/36hcmdicsXkVxrSOae9U91wWcQH91XX3zhc0iVW8vydUW6ndLYNy7Yhz0/T7vMk2KP8JXe0NHJPoh+Dmzh/EdWF5ZISVdCfKe80odu3negSK6nmhRf+1jPw9YMbPR+Iomf29WW+vuYhkj7+0rcflZJtGx0FuyfVw6+7in0W7JP+cHxPXQmiLZmCex6toyyCnm3HmOltNWWyD9FskjCpX4pbwd61hhJ99I4n69G1RulzFjuLZeSMz1YW8GEr3wU7wHUHVzD5V234jWkfraTDF3+x/Kj1hGpZ8ot9N6qw93HwJY6RuoY2ZmAYfev6ZhwwZ1uh5hwqcUGSz+e5H2xUGuHeJkrSOac9L6zsxID6MPXjFnT/8U5eL7qD35f0cDg+d2MiLy7rxF2tjU6D9HhD+vlbLELaVn/60gMxTjuUD9L+x4Nr59N4wh+8NK7ApcAtDarFR/c4yU17kxjTdDUn/2lNu1eUBaMnt3Skc461oT+56Vs657Rn9KZkJjxTG6OAYYfbe122pQUd6HdhM32e6suolLkUnr+OF4ZVVVyfr3OejCKzULh0RS8LfltVlSVDh3l9vBpUrXuc5OUlnZg6vRUAU95v5vWL1ia5imUR0igUD9QWZRjvW2XCYN8c1tIejuXGZxpztMFG/h23hXA/xVomKVrSt1OIx8Tg9kLuXFoX4nO68Mr4djzx41F6nWnHPYl+vt6GhSHvtCnxb73lcJud9DmRwsDT7bipoeLNSXQQHWouJb9YEBckuSfRj05rOlrawuCmBsY9WsMhPpErod1vQktNW3lhRhIPdAng2duquM1z0DmnPW1qKNe84bYzPPXOebqcS9R0FqqxhDPUmZhdLg+S6xo8Wp1VCuGeWFXyyXgTH7y1kptaDeLurw8wfmQzFnT8mPtr/0cTa0MlqO1GGlZ7j3uXfsCWz/eV6LrXnU9j7IQCln5ZwKKPC/lsxwo+3/83hSMbsGVPvsPxFwqrcODQZD67tjvzl9Vg8bYbnJzVNWqqLfswqBbTrvx7+HyCicXf5/HWY4U8/swHxH//DWfqb+CjuxWhsLNOEd0fPmT57eoj/6P7w4eIXpXNgSdj+WzHChp/f57dJ5XhoKeR/fD4SYiMTJ5MXcjul+/l8a9P0fPGI8RndGDbr818ur+y4t3fLvDF6gKvj991SrnXg5kQmJ7P6STlTdn/3T7u6aR00s7SvNlSpWdt6hxrz8Ifc/lu+QEGbV3K7grWmDWLkJZgXaqgSU1cz9QX97E9S7DymCTXBNlFcDQbPl6cR8eW7gOmDWyszU3avF0Kc2UyI/vOZ1W1ITxQNJpGtyZwV2ujSwspd/w6ZovPv/GVGbe2Zf6+eMaN/oqkN9tz46JO9LqwgUGxr2CS8NbCg2xd1Z69vdcx9Os9LPg5h5u/3EmDkX/z8SbFgf6UOYXfsM5aQ4Ep7yttfMpjOzS5UA+3FTzUP5vba+3nm8kmpn7mEJkFgO4PH2KhYnjDnBY9+CehL/ecfZWHf7PKpEfWu3YiVDloHqSHGBXDhx0nij0aEVQKnfvcjE+I9M/ijhrPExMMLTckWRZb3KEKxdIstI3cn8Qjr88k9P1PaRn2htvzPdU/lJ+X5Fi88XwNHhRV0J+bjp/m61oNGb/yMFN7reWmhoI96cXszRZM/KsDDdu9QODuZBp1+oyv9y3gm45rfVros1+Y+e7oH4xrMsityZf9b8qiXkuLM93/uCdqMuXDk06P96Rnfap/KBP/vIM6oV84HRFNebMxORvP8NdXTbn12TRenXay3O9/yg9tSftwB+fPm5i318S0vQv4NPZlErKK2dRsg8+WPN7G/QkxSvKLFXWZu4BgVxpJ0ZJt5wTX1oLVJ6ztw9YIwCiga1YifT7OZuLYfbSJkm7DIvz1ZyaDBkc51FugAfqfbEdGiIH3nvqZwT81dGvVl1jVep24IElyXYMlAJhRKGqXvjs78HV9ZZAWGygtcqRNlGT3eSWEQv+z7QgsglZTT3HX6/fyR+BrlVvnnvrhGwyNfZ6jeYIjOXgl2MEaLtMZqnda9zjFIUMNqXpPoh8tI60OL/lDNvGnsRPNQt9wez6AqLbVqGET89+TYF974RUahFlD7I68axW9M75i/MrDGGYrzhOnzxdzzDyqmHjTet5sdQsLxtenS5VJvNcuxWcLDvvyD6n+O/PPvEBsoLToJKP8lRGiWgf2v/FUD4EG7zIyeYOaJcue3vUMlv0q6ZvOEh/s3O7dPgO9PZfebc7ufn25da9icjp2eDW+W7OblpHKSDl94VHe+CmTnUFrmPKhd4JdzfLl7dqN/Syq/8o5DHzxFKcyTdQMhsP7JtB/qaDFNxdKZKLpbWdku8DtTLCrM+TYQKWu1farqidsn4nqOKiqi9Tvtrz8UHXLOVVvW9tRaUKI1LyTgEV3/fJD1S3bUjMUAbj4qNZvw9a6yyRheZWNjHthHybpOpCZ+txr9v6ACVMbWraruYzzi+HP2E2sDN/AH4Yu5HgIOFr1gFVVeuKSNbKjWqY8EzT406pDrxqoDCwBktZ3IL8Yvk6bQ8wFA+1/vsSUD0/y629/u71mpRi5lwffHJ7NloxXGLpiFVm18wg9F8Q/8dfQJOwnotKrE/3rHubWv4WfJsSzP3iVVy/Gj8dnsunY22y/PYWVx5yHY338umC27cilYZ0Aun24geZzG3G+Icxu1Z0P2qyr8DCuIUbJsM6BfLJkMAmkkx++lCEbklnewMAH+bfTK/Jpn895cyPB1M1jPYZ3bRkpOXdJaexTp7fi5ZHbLGUas6gzU3ut5aUHYhj2/v00C31DM/p+pEcQHy+7xMPdAvlkhVZFVpLR5sj9SWzptJ5P7jjJYzNqMvnDi1RbnsX25zdzdMVL/Pj4Zp+tR6IDJIOSAjk5qwXNHjlgCVOr8vydUYS2rIapfTVMAYKgQxctdRAbKKkSADmFVHiETHcYBTTJ60z/bcX80CacoXsu8GKjJD5avZH2LUexfudnpL+wwWIuOXZFJza0zGdHWBRTjj7HgsAXafVXPi8/Yk2W0TJSsvX0Hbyw4TC3tezPn+vn0zh0OrPva8Wvu4rJzB/JzkuNOJ5Xm017p/FJ7zV8Nv84P7S6id+jGmMImFHm9/nL4mPMrT+IbhenERB1nOnJt3D8Avx2Smta2SxCMeP15L2c+sgxkj6uTZsoyZk8757pzY0EZ7OLabcoma/bpRBogFyTXcdV1lEhrwZiWr1GS78P+W1VVb6ZFAmfvMMN0yazekpLVq9ozIJr78VYNYizESu9Op9RwBsth/JB5xSiIlzrJqVJoiZYeqdvK37v1ZN/o3vwZzNlyF/R8blzTYLPVhYwecIaenddxRt75sKTW7l1ueTGaqNLdM5Z+yQ9o15xuX9IMwO/pX/D4RzraLJPltVsMtckMBYoO+b/fpouka9rfh9ogBPHFYH+yYp8hzWKkqgRiu/aQmqGYMsjh3hszk6WL0jgj8J21BuQQmaLoBKbBX6xuoBjjTcinYwOTIUmMBUjCosxFkjy1lhzvfbf1YG92eKKEuwAw9r70W9HMWFn4YEnthJwSfBMx0/5omsYX18zkpmd/TSOQSFpeeQbBbfsyWHf8Yk03e7PmdlpmnNuzxJMWpJG8HnJrJR5GAsku/NGYipW6uyhxK+4psoLPBR/N34FkgdWdmIrt9JyRyCp73zvNLZOaXOffvtwPJHnjRyfew9P1LsFo0Hw0va/+OSmdzTtzSQh04sQUfObXsczg8Mtv/EG1dv7w1bKukBGgfA6KB/8Px65f7dmN8uebmVpiFOnt6KwVgiT+qVYRoi+xCbvE69MB0vK5Uq8YM8T2zpaGhO4drApDYEGGHNPNV775qxl23+GRDiMbF3RMyuRlGobLA39zKVRxAR9VqoyPbemE//tvJZHdnagyE9awiy3jJQcznFMVl0e2K4jxAfLEnlmlzcj9yfxdaNUh7pQ26+ztZBAg6IWK6v6u+9gkkU33Thc0nx/IsdabNS00wFn2jE3xrWfhTfrYfbrNCV10FLPFWAo+3f8qhi5lyTegrve+57OTTUjjAkPbGNSP8U7T32gvjTG0gh2UEbs9oGtnlvTqXQnLQG2gh3gkeWrHY7xZF7nifxiNIId8FqwA7w5ZoZFgIT7Sd5fraT8s9VtO2sv9qEAbD9ffGkzAN+0WkeN945Ztp/PL5ktfknINVnbQJYXKVud5ZEtb8KzjU7rQhVazkaW+cVlu/iuCnZQwkT8GbuJm9/Umlx2eDPDshagmr7aklzbs0CxX4AvqWBXz1XRg7dKI9xffLymJRM94OC0MPXjFg7C3LahDU/yswQRsuflh6pbGl9ZLQSWhKWnHtJ8v3nM/ZrvnmzTyyPaZfPHjzls83djEWcU7u12VWzN73xlVtC1ltyiQxIDaNfiEVpGSu4aZA0u1iRPmxy9a3Z7Ptu1jD9Of86QZgZeHBHNZ7uWWfZ/uyKPcD/FSevrr6wWN6VRi6jt0ZfncvvHir+CM0Fgf57CL61CqyQd7vN3Rjndrpbb3nEGYPvAFIdttngbMKysmfXsFh7uFmhZ8Jzy5lH8Mq9l8uT6PHR3Z7rHSU0O12r/aOVHcozzhfvKTKUR7vVGf8WtsQcA6HuuHd0n3GDpmYeeSCS9ayiRbgKBZcxvxcTXtOE71VX73JO55VJmX+lT81MAS+jUa5cr9vuqru7brcOZOq05LwxThFiNgj4YhXWEb8wf7OBQYW+ZYC8gnuofSnKM5NaTilB5cK8yw1MtZ/y6D3SYUaScES47mpaRkv5fKsmS3b3ohzKV/yVxkJnyv1Ocu6ic+6t1hdwaO5ztWYK5863BxRq01LqjX/9JNiOb9mBgzIP8uquYFR/UZWTTHpb92UWCSH8lSJ2tOqQ0I07VZto23Kw7QoyS7weHaLY90MXqLHfLcW1Uz7fi29AgTInn/u7Bt2gcbo3trlpa3HoykcRca9A5W8/tv7/UZrpKrCoZ0szAmEVKx3hbarKDp/Xio1oLFXvb91vaOr6EapsqT1IzBNET2/HTJ0pQOpOEz5q1pt/m73ig1eeM+GsLE6amWY7P7qf1oG7TJLBcwy0k5/heB546G09WWJVGuB//5Qk+XhEDwDXLjXxX5Q0m7fqLJ7d0xNh3Cx+2Wud2lLWjrqM7vDrtso1RUpHxNOzZkqlE02vcSsmw073eLyTHSBYvU1QWmzo148VRreh05x5+WnaIfsey+G75AQZuXsms2WcZ2Xc+z6f8y/QdqyznnP7vXmIDJdN3LwPgs+2rmL5jlWXke+3o/Tz120EORxj5689MHou7gcd6BRFzsD3Td6xidtce9OigFTgAKYedG43vuwD7xyl1rc6cVK9AlUCDIkTHDAzj1VWP8M3h2T7XlbNk07bTZnu3/3HP7tV8XxnuaE5b1jrujbuVRd/MS3BHS6NHb9iF00w0bbXactzUac1Ztd1qCfT8pD80JoITBv7Ej+OLeHftFhY9/yZRJzvQOLMDtQp6UffHc0zfuYJmE4/Rqpuie44NlNz53V6m71DawL6wtZbP03esYt8FuOXTfUzuWpeAgsGIYgha346u2e0tAwqAZbPSSY6RTPmhLXn5xSRFK51Kz1qSRdsd9UkRz+/xue76xLsXXl2z2ztsm9prLekhyy0zkh8WruOdvd1YdLCY1U911Bxra4oISviD8qTRWd9GCfHBksMXtR0pKMHfVH56x30uhkq/oDpxbB2HEXllwZnJXv+z7ZhfTXkZk2Mkj8/ewz2dmwIwL6IzN1xQshPd1drIj1tN3NbCwMwdxbwwrKrTsLh962LxkHOFGiTKmRPQ2OHVkA824vWuvkXHe3lJJ6b2cv6bevndOBK0gu+OzeR/7YfSd1oS44dYha1thvcrhTEbknmnvXuVhDOmTmvOG6N30O9Ie3Y13+BWb5uck0RKWCpNLl3DnqBVpL6Uw4C3Qrl7dSfeaZ/CiyOiWTitHqmhSn5Wo4D79ySxJHE9B3IEU75qzWsPbKFuqPNBypBmBn7d5TliVpS/ZPSvHZlwc8nzwPqCs8XN0ZuSea+dUt8vP1SdoxvOacJcr+7+PV2WOw9BoQbb8sUgwlcmv9KQ8S/tL9NzJoRIaqcn0eawkQcT+tE2bLLDPdjKjN/Sv2FPtXsq/4KqK8pLsDtTO5R1OrMRr7ewxCv5couykPlMW8WN+cG9SdSINNDgWUWY25v7qQk51BCvzgQ7eBbsYBUEzrw7A2NDCMxxvG9XQaVUVdmg779zeb2vE7uTECp5q9VQVp4SHH5rq2b/Ey8qtmVNLl2j2e6NLr+8uGvW0hL9bsVdgWQXCVq8d4bDHoJY9n4iDYDPO/YDoMpLE0nPF9x8b19iAyVvfJ3BJ28sJ8pfyZZkkvBlk1TLyz5uxFZyTcLl7POvPd6FQswsFGUm2FWVojucJkQZt93yccjbD7MjTTsjWNx3osvz/blVOdaVYC+L91gE+x6KwR1dYiUTVm3k2sfTGPHJn8x47CNAew9xQYpg/3Ouku7x7db3ui9jZR+5lxcrPi3km96dmd4wlZH7k8gJKibfX/JnrGvzKlXPac/0hlaX4ht3WPWfn9dpwNdHHmAVY7k10Z8Zjddz+94OpD5/hg5v1ebkitepcc3T3HBhDSEFA/n7q9/o9lDFZhgZeiKR599ZzMcP97VsywuUjJn0Cy/+91bizxkt9wfW2BczQrpYZhn2dD+fSFaAP1uClZGZUYCfsKrJ5kV0ZsE1W3n418d55/g/LElcz6DrIhjw1WR6RT5dotjqpWVeRGd+26gVMCYDGIvR3L89v6V/w0Px9/L36PN8+kAfMm/eaBk9j9yfRNUX93HuVSWlW61pJ5j3/XEmF3Tht42FLGurCNgPDV1od7odNYP+x7DD7Zlbszq/Noqj9+HpPt2DLyPZshr1zj7zOQNjHizVOaZ+3ELj9FRaRnUNKBc1zGPbO/JRy3Uu96shCFSzyNuSAiwWe0NPJPJ7rY2YpOu6nzShHhMmHWLbxRd57+RCpjdMvTpMISua4OU7qLND8HXaHBLmXqTlb3k0fcb9MPj+e0aRMPciIXkGEuZetPyp/HfvX5rtq7tey/G5TzJg31w2TMnirv9ksWFKFt1jdzL5aDbLwh5jw5QsmkVInlx3mhfvqnjTyDEz1jE//hoeefUnEv4t4M61//JXbA3mtxrAtQvQ3B8oevbsIsFz6a4lw+GaG+hrM1g3SRj7vNaS6Z62J2kW+gajJn/Nm7+c5uSBXFYu/I7v1uzmp1P/K9N79Ibpe/KptyhP8/wa/HWRhNmuw66+uKwTf5//kGEpnZiRVpfaP5yl7WNNLfsT5l7kyDsNLOdbNLUmjy/YwoYpWYy87zGG/t2ZccuV7++nKusYj977NE8uPsvqMat9tpDxRViXlTqjTnApbYSBT8ds13y3X+B3l6DbnkAD5F8qu2Du3xyezbjFyXxzeDY15mS6Pfa8uT8pkvDBvvmcOm0dLPwSt9FS567q/qs3D2IU0Cr0VRLmXrSk4HSFPnJ3wYRnajPp7WNeB/9S42dkFDjPmgKOukXVKUJ1AHn8umCmLcqzZEEKNGgdQrxJlFHW9KwlWXpcWMoe5a+UwVOyg0ADtKrq3AFKHd0/NKgKuzZeYO5BKCi4i4CAHwFllAxww4U1nLk0iv39e9N56e0YBSxpPo7cE//SP3NZWd+qW0oykg0xSkxScO3ZRBZHKcLZ3jHG9ntUQX/uuWk5HyzIJTZQ0qq6oEMvrbOXbRsqi1GxLbb3WFazo7+j+9Evw30MFG+JDpA89kQ83X69nt6HpxPuJxnQ1I+mN9VyqZ61f249a0lGpvzOsNq3llmZck1K0nh3csK+HL4GFVTpWkOy8pTVx2PsJdeZmK4sieqGQIOjU1KUv9X0KzpAavTStt9dObTYn1/9HcCktxX7bm8fQH6x9VhXQsD+XOrimmrT/Pk/eZbjTNLRISTXJGgQJjVBltT7iA2ULnWJ7kzxetaSlv3hftJSx2o9qJnr1bJnFnoW7KDUx6WjnZ3ui/RX7qX1s2v4edd9ADzU9RenxzY2HCX/5EYmTainBH2aNI/Vv+RZymd/z67ML6P8lfbgyuZcbS/RAY71GGgo2UhW7QT/rWa11LKvO9vvmQHz+WCBYpabni9YfUI6OHvZtqGglnOIDlDWPm5uJCzvw5iBYRiFcs8lSbYRHSD55sQXgPLO2b5Xz98ZpakrUN6l6ABpOdb2+AlpGTzVP5ToAKXd2u9XyxhilHx/7DdAeYa25VYtRtaff5obj/1JfuZO8/Xg5Ko2XBoQZznWdjYz7tEafH3kD829LT0uaPpmV8t9urp/tR3FB0vLvTl7v9SQAJ7khH37KYlgByyCHTw7RVWakfvYFZ1Y1N7EoG9z+eXF7Qx9qzVNay+kducv+bjXBEb5/4/9P9dgeN2BAKzsOI19M+ozot4NPNIjiLjB9SCviKkv7iO/WPHuq3Wr1ej3tUcaMfbjffTb+Dt/J97CuKd2les9l5T1U/J5/OlruPH3Qmpf+xrHfh0NAUbib36T3rELiA/+UHP849cF0/6z3xhRz3ls+eVfFHC41T4Orx3Cfx+pzwkZw3ufpFCr11ccXzKiVPWwL/c/NAp5y2H7sMPtWdQ4lW/C+3N67tt8MrA5/Z9uzLgXlBjXvy44SdjdI1g/7jAN2s0BIC/6OCfXPIb0NzDu3i2s7DiNpXd/RJu7xrDlx3f4951dtGwTxm3fj2VMoxc5kIUlZCrA0i8LCN93iQkzIph7UInTbXtv625ZhaFqTQoPrOfiyIGsOWu1Kf/8kViOBCwrcT2UFyP3JzHirvsYvfQbPpi+hoADZzHVqopxdxrvTLqDm/f9wd7DNzJuxFbPJzMz5f1mXL/8C3Y/H8m+7PsZ0HEgO0935PjcJxn31C6WtxiHMTQWQ0Aou76sw7FdL7CzvYknbrmfakuPcq5PA817GGKUfLXoKIF5wQiTgVr/FLFjTIplv1FAm4sdeCn7cXIPJpO2bjAPP3QttQxnKAhQBPMfp79k+6IP6PJie078/CwA27iP81Em5tQP5/eh41nY+UEI9iP+5jdJ2zaJwllpNHzsb2K7P87gnDWMfd5qVff32Y9Y//006gx6g/37XmFKH60VVHRBX748P5QtP75Db7GNU43OUqfrJ+w4144jfz7P9LE73YbIrkjc6dwrjXB/rFcQwijI/6gFc1uvp+/ODjRYWcjGV7bStFNVTk6op3FLXvt2Ed2f9bOMjIaeSKTh/gDe77nGMiK+76C1TiKyDVwItw6jbM91JTHxuXh+/PgIXbZ0oOiWTcS3ieTgK3WZUXsj/RPQ5IscfWMoPR5JY9CAGJfne2ZwOId3XyRsbiIRj+wkpk9t+q78jHuWdKfLlg4lqgdPKoxaBb3YLuvx9PEtzGqynkXnJiMfGECHGcrzaBAm6buuI3feMZARB1/mWK7g5mYG3t/wMDWDFH27+uyqPLaL8x81o2DQJtat78zwGdksGbuZbnfEW2ZfoJgyRh4qsphc3ncwie8aWGOkjF3RieDThRxMdHxp6+42MOkG1wtlnrCN5V2WxAVJ+uxK4q9a1Xlg2Gq2f1yfqFwDzVYW07Dm76yofhvft16nGeGpM5eBjQX70osdTDPnRXTmvbRLLKy6iTOXRvH3mf5MbDaIa7cqbUGtd/8imN1qPf13ddD83tkC882NBKHBBgL+bEfDpfmWyJdqeXqfbcfohCBuuLCG+VE9+CR6OQ9ndLeo3vqea8crH63l20HXasJjbLv4IncalpB0sohbty7it9bXWco44OCfPHVjLeqfSeInvy58NXe15dmH+0kG71NyQjy5pSMftHF8tpN/bc/BREHNSYc4sy8b45dtiJp6gFOT619RsqFUwl0IEQ98C8QCEvhMSvm+EKIqMANIANKA26SUmUIIAbwP3ADkAvdJKd0m1CwPnbu3Nr1XM3FBkkZV0WSG9wZVz15Svty/iPsbXudyf1K0JDJYWOLxdI+T1Knh75AI+IEuAZqMS7YJDJyRECItI6q4IHnZIyomx0g6J4fR6o2FpH10K1P+d8rzj0qAqh+37VRdBblaNyQFQ60EAK77X3UHvXp2/n10jPmKXRcEk15O4OcPDpW7Y1+gAZ5apQRuUwcow5P8LHbtbaIkTeKMFrNfldhAiSn7erKDFjqs7yTHSFLOKJYpfeuLUicpv1IprXCvCdSUUm4UQoQDG4BBwH3AOSnl60KIF4AoKeXzQogbgCdQhHsy8L6UMtndNa7EBVWdkuMpIt//F8rL5K40rO76Ff512jHrgYedOpnZZi2qDFS28pY1ZaqWEULMAqaZ/3pIKU+aO4BlUsomQohPzZ9/Mh+/Rz3O1Tl14V5xTHm9kUW3XV5cqeFqr0Y8zVDsVWQDzrSjSu+tFie4xuGyRFmdrhQuhwXZlUSZ2bkLIRKAdkAKEGsjsE+hqG0AagG2xq3HzNsqlJJYCVxu7JPs2gZ5skeN19K3rtVCIDlG0v18It3PJ7r8XftXlah57o4pLafdqE50ypYu9YyWtvDSAzH0PdcOsD7fO9OsMViGNDPwnP9dNLungSXA3OS9P2vO1/18ouV83c8n8sS2jhav4yuRK0GwD0/yHPzONjZPReG1CBRChAG/AaOllJrg21IZ/vvUAoQQo4QQqUKI1PKIyeiNuZ4vlEc4XXtW3ar1Pq1RXftddeW+72ASu04VM333Mho3Dub4RZi+exnvH3iVB7f/zJOXnrIECrNnzfA0ALo86eiQpcY7DzFKpyaFrkzH7Bl9u/NQsq6oiI7YU6Z4b/D2/suKxuFSI1jVYG8qd7Q08uuuYu76VHmWfbocp+PY40zfvYwuTx5m+u5l1Hhmn6Ut7D5pYljN/7Dxi32cuQR9MhPZ8sLjTN+9jOm7l9G1hqTLk4cplkrMpi5PHiZ2XR6fHC1fp7EusaWrV1sTxYQQqQkNXt4MPZFIxjkPCVSB0DbRpQ57YP/87b/b45VaRgjhD8wBFkgp3zFvs6hbdLWMd3haqBy5PwlDMeT7S6Ie3U2/tR34PUUJSLIueT0/H3uBZqFvWKbatlNuZ52Pr7bZsYGSMH8Y8WZLVtwewMKqWr35yE7+zEwt8Ghfu35KPh3GeZ9IwjZYGjifattbAl0O1IBUFcX0vf8QE3WQvzKVUNC3JIdZ2gPA8H/W0vURP4f24Oq/Pbb7wXV7KW0oggf3JlkyWzljUHo7t2E9PKn5ogr6kxkwH1BMf6s93apU1k3eEmKU5Bd7l8jlvoNJzKodw+j5GS7j9tiHRravs/lRPfg9JYc1HddzMBtmxd7O+iM/l1wtY7Z+mQ7sUgW7mdnAcPPn4cAsm+33CoVOwHl3gv1KR82CXha89IbzZIvqKPnhGaupuzCXxnPzuOXWTDa8eobpCQnUXZjL6CUbaRb6BoBTN2WTdPzzlfR8QYABrgncxBj5gMP+6WsLLYI90OAYy1vl66VV3F5HjRWv0nmptoJVBxyVZhGS3Xu6eXUP5UWIUWoEe0KI5D9DItz+xlO8bU/qDoN/PltnvEuNI0bqrC0kvNEQ6i7MtfzN31ATcGwPrv7bY7vfXXspbSiCYYP7u91vL9jt45i/+6fVyqhPvGOSkT9ze1k+T1uUVyGCPdxPUjPY+7ppuCCPH6Kz6P3KcL5NcR4np+7CXLpc/JThw+5j+LD7HGabG6acpu7CXMYsX8+0vQtY+58tbq/pjbVMV+BfYBugKjteRNG7zwTqAIdRTCHPmTuDaUA/FFPIEVJKt4ahV/LIffaZz1n73Fhm/HLGY+Ll8QuTEeYa+mnoWoeFqq83bObQGZtsS8WSwhAD+xoX0HyrP4UzDlhW/lWzP9U93ZMZYGloECZpUE1w7cTWfHR3dWrHLaJqqPAYUdKbEZ2zci+p/yg/VP+c2hMVvbCa3lBlzMAwCl9pbrFpXt39ey78fp5+1R5jwt/JfD5obYWbOY7qGkCduxtRdOgCxqpBLHk4nCcLHmdw9ftd/mbXxedpGfYGT90UpskZoDI34xPWpX6l2WZbF/Z5dcuzDZQnz95WhfDbGpLy3AaiIox8v9l1HPLJMxNpeM0L7Nn2tqUulrcYR/cdU5g8uT6Nuv3DzpmdNWall2NR9d5D7RkX25PvV/zLpH4pTHmzsUPOAFu+P/YbVZtbHfruvbTaqZeq4iVu/s2pD1n27BT8htTXtAs1Q1Z6vijdgqqUcqWUUkgpW0sp25r/5kkpz0ope0spG0kp+0gpz5mPl1LKx6SUDaSUrTwJ9iuZKd+2YWDMg2xZnuFRsAPsalnIuVqSv7oV88KmxQ77X+3RBlOAsPz90suIoRhafZFFdgwaky71JVbXDsrzpW4Xb8QoILdBCKcCFpOa4Vmwg3vBfvLSo8zN+ISRdzk6UH25NIXgcD/yqgj2tVBGw3MzPiE6QDL0RCKFrzQn/5HN3NRQMDfjE+aP+5B+1R7jx+MzMQUIvjxe9jpgT/rQz1YWQIBB6dECDCyN3OhWsAO81VuZ6BoCnL9mM/s9rmkPpgA7m3M79VdlFOwAb848T49XbnN7zOwzn9P/bDtWXAfPNxzKgC8+sOzrv0kZofbfMZPou5538BcoD8Huan2lZZ4SvK/etHQGx72JKUCJCVWc4z7p7XMNb2H1n9LyZ4+qGssuEqTnK3+r/vsWhgCjQ7tQ93ui0nio2mOf6EJNOOEK+1GQN/g6UlJH2SFGSaMIJbOSO64EMy5bfWtZJjf4++xHvNzkUfZkOQop+7UCk1Qcmf7bYTm3L+rO2QLlN1/uX8T7HfpY6vH7VXsZdk1jflp2iLE3JGhcwO0DcnnC/tkuz3qT7pHPlvh+ddzTJkq6fR/uaGmkyVtJvDlgLbkmoXmfVSeth7sFEvJuW0vSlPI0613V+TOuWTPKYfvC2Jvpmz5Ls61PpjUwXEVzVYT8DTRos9dH2UX5rOY++qVlqqPySI8ghrVVRqx5+fdYzm27MOnrSEkVLrkm4VGwq8ddbvyEZ91sSehX7TFSM4TTDtV+rQAUL9qZLz9PWq71Nw82uk5Tj8OuUXJ+3t3lWfqnKmnTnuofilFA0yqSQ3mjAUUY9MxKdGvh1CVB2/R1wV6+eHofft5uYlK/FMs7YTtQU71oP1mRr8mGJeuHWwLd7br4vMs1IPBs7bbr4vOa7xd2/6iRB0ahBCIryjvt8NvLJdg9UWmE+/+2r2DtnZv5ZV46LwyrSmqG0Cys2EZLA2uSaZX0fKFZqOny2mb6TN/AZ7uWsfaH6Xy2axkpow6z9t5d3NGybLOsXMmUtcmoLb7GG3+7g1b37qqzuTbhF1Zfo+jjP5/Vm7V3bubz3usY3fp9nr8zivan2zP+97V8tmuZ5Tf20+wF227i2dvcL/zqXNmMv22jpTM48/1UFu4u4ruj2iiQqvD/fukht+c68/1UhrW1vvf/9N7IzFPfsPbOzeTl38P8H3Jpdscqwt5cUcZ3UX5UKrVM55z2NO6xhdv3duCGC2s0OUW9Qc03Cs5VEENPJJIZDN3/MjHuXvcr0RXBi8s68WoPq4t4dEFfMgIWXsYS+cbITv6WTDNlycsPVWfqp6ct9dE5R3HUWRO2gc457VkTtsFB7WKvFni4WyC7/mrB8ipX5qjLGfbPv7TtoTK1p/hgydkCx9muvTpWff4qap6AO1oa+Xm7+4TSU35qx7g7rZY7PWtJLu1RNB5d79/PmzPPl8WtlIrn74zijZ8yLd+viqiQtqgxO0Z1DaD2ky0Zf1vleUHteaxXEB8tucTmnPE83nASI/5ZjQjMReaH8OfNXRk0ayUAaR/dSvrWcyR/utTluY79dDcTpqZptk3fsQqAkS2ucfIL15T3eoCrwFbekBStBIm6EmO3uGL6jlUen8HQE4n8XWcDcTldef7YRGS+omt8sNG7fL7vaVIe6kna0QLiayqd5qiuAU7bw4nNj/HavZucPr+RnfzpMn0Zq0f2wOgnHOpP3W/L31FP8Euc9h17eUknTr28URPYzRWJVSXHLyqz55ImqZix5Ai396rjsN1TO61MbcQZ6iA0L/8eggO/47YWBpoPrM3bbx7ml/T/sbHKI1eXcL/auBIWVssSb+7n2duqaEZCV1sdlAb7aJi2TPg7mTd7xZIbMLtE5w4pGEhuwGzLf1f7y5paBb04HrDE6b4B9WHuQfe/v7mRYNY+72TVSw/E8MoXZ3wtYqUhOkDSoApcf3ctgt46VvkXVK9mrjahlmsSHtct7Ke4V1sdlAZ3o+FJ/VIYtSO9xOdWBbcrAd7zfOlznjpj+EOuE4bsO+NeaDeLkG4F+/iF2qCzW5ddXVEiF2V+oPl+d+8wUjMEk9874fZ3+sjdDbbuwO7cp3V8x5NLuo5zPIUKKC0lVZuUJw3zu7I/cKXl+6QJ9fjf6wdLpeYpCzyFC3D3O2fHugpPYrs+GO4nGTM72eKFe1WYQn5zeLYlWl1Z0CxC8s3h2U7/1Kzidf/Js/xdKZy5NMpSTlvrH/v8st7y3dE/LAIjLkgybrHb0PtlwsPdArn3zrsBLPdiS1RBf812+2NUt35Xz8/+fL5Qmt9WBM5CBfSspWzYdvFFQAlrYB/iwZfzg2MIAG8Zvcmx/XSJlW4jnNrTLEJarm8UsLS4HQDfrN9KZv5Ibtj3B69uW0KzCMl/N6Rojld//83h2TzWK8jp+b2he5zn+7eVD77ICFfHnnMRQdHedNjb8AqVZuQeGygtiaPLgrkZn3B/rYec7svyMgn05eCFYVX56hclafIfnX5gzqRp/H3LGk0atynftnFp7TNhXkeMuSZLyrHYQMnjU5sw8bm93H2wPb82TC13FUmgASL9FWsWW1dqlTZRklPmhu7smKEnEvklbqNluzNK6s1Z2Vz8J8zryNQB6zBJJa1i9OD6dCvaSLeH/JkwT/EFsBUG6rbXb1xHfrH1u+1xE+Z1JLFoPsNuqeqz458zZ8FtF1+kbdirXr+7czM+oaA4gMHV7yc5RrI3S1HbfXpwDvtfu58uPzVgRP5qPjn6FVvenciN6f9w9PV/LR7DS+o/yt8/bOTtLmvLbYZzpeBu5O45EPEVQlm/cAOiHyadin+JVTf3Iuk8e/nfZz+yfA425pJnCiHSP4uswkj6VXuMgHsbkf79OQAWjXmffIwYDNrfjz7yrcvr51YThGDVh4dfuBbxpWJa9W29DVABdZJfbH2ezp6rrclilL+kwK6jVS03ykMIX8mC3bZt/Dl4DH8tvobC1bkWAZafY0KG+LG4WlcmA4UhBm7+70SS6Wf5XWGI0liMQgKCax9qwpLv9mmu8fKW7/jpyerMLUEZnbXpVqGv4t4IUcuA6Ictn1POWM/3dKMBZPUIYeVsyYd94N7I33j/rcPMfbEv79U6CP6Kw9PiLzdCPvSuAy9teZNBMf9xSCd4OVDffVdl+fvsR/Sr9pjlMygyQHWws33+y8eMp+vbr0CkoxetSqUZuatMebMx303ewz3jm2A6k4cxJtgSsGfyKw0Z/9J+l799/Lpgpi3STommvNnY+sX8lpRnpqKv0+YA8ELce5wKcIw/Y+v4Yx+2deM54dGqJLGqYs/t7YjFU9iGy41aXwD3Jdyo2Tfl9UYOroen5h/hoyXOo296g6cAUJcT27ax7wLUDsHjs/NkcmqfvLu8knmXlhCj5MNdSzix/hnG3b2ZlP8Wct9UP6a3/prB6+/jjT1zaTm5CfObDbA8v0CD4rn89Ka5PNFwgM+zEI1sMFOatqG2Zft2rGJb9+qzNknrYMf2+R/KhgEt/GieWnj1mELee6g9+zul0nBtEtHn/MioWmQecSoxk91lJncWi+LeQ9ZMNQYpKBbScj6dKxvbZ6fS8Mfzbjt4b86pP//Lx9G8J0gI+RDQxh9KuTCJftXGk1ko2H3xP0xJX8q39TYwL6Iznc80JzpoOn+Fd+aNo/kWxzSjgP25o6kX/J7DdbxZmHbWvq60tnHVOTHp6OhcndzUUDBojuKYtXfSYAAaT/iDRsuvYV/3VdRNTabg0V4sH7CbN37KZF5EZ/yCq3N0+dM0Wn4N+7ts4P5WSuTG6buX0TF+Id8/8LHGq1PdBzCyaY8Ku7ey5vk7o6jy3VlduOvo6Fy53NRQ8Nd+RRbVy+9G59MX2RATxLvVizUhRsYOr8aSj+oxMT6M/pnLmBfRGcBtGJJ5EZ157Iw/eSIAwKk6tEZBH6fbLwdqFEyVSRPqMWGSNTaOWtbknCRuDlpX+U0hdXR0rl42HLOuml/Xey0M2Mzze96l+qi5pI7PZURHf0Z09OfWukdp3msLARENGNHRn9ltFRWMeow903eswi+4OvfPOM+X0RcZ1OdfRnT0J3V8Lsk5Vpn4ZfRFTWas1PGuMztP37GK6TtXOL0eYCmr7X61fK7KeU+in2X/3T1CLJ9Tx+dy/doPaBkpLd+/jL7IiI7+pIS5t6vXR+46OjpXFD2zEgkplMyNUYJ4hRQM5NfoMwzJsCZ+md+uDRePLubNI/mkhNTm1+gzDMqoQUHAH/TMSuRQ3AbScgU9sxJ5tk4gp5d+zKOtxpMbMJufT/7E/dV+AqyeuvMiOuN/+E6ui3rS8v3NI/ksjdzoUDaAZ+soOYLfPJLvUH51H1hnFOoMw367ysqO07iw+weXdXJ660tUb/2K5fuQjBhyA2brOncdHZ0rn+l7/wGg5bNGhH8wHX+1OkSNe7QGH39x0uKN+vydUdyS+wdnl47lnSprGHO+MyfXvQYGEy2fNbJjcgi1d7Sk6OHeAPzdeQs3Ds+g710hNItQzGvrRQlqxfrR7ccF1Ex6GYBJgatpUNOPYWmK/X/68mkUh2ZZylEz6WVmrSui1vZiCha5D9Vw06mZJM/qAUDKzcss288uHesg3GcsOULC+9YAO3/VcJ256qZTM9n+pmJcml6/py7cdXR0rmzsE9F7ciQcuT+JWxP9MQRUobjgPEMursYkFeH/9IpOdLtB+Vz12I1k1f+X4oLz/LVWSetYa8lFbh4xiFahr9K1huTF3C4ApG8Zx9r8Cdzc0Y+qx27kyxsm8Y1NrJ/lWa8QZMjHKIpoFfqqx/tR78H23pZnvUKniJc0xxqFkjjHm3u3PdeEAn3krqOjc4VjG0JAtd+3DQfxequbNMe/jSKQU2YWk3ybgYxFXyANyoi2zl1fkpeeQsrMYib1S2Hqxy0A6PbxHeSkzePMP59C9TQ4nUD0kbqIEf1ImVmM/6EcEp+PIGVmMTNvs3q4nsxz7qB1udHVMjo6Olc8v6V/A4BBmCyhBOKCrPLph/inLZ+PLelOUZGi244IOcOFXKs+PrbNFNK3jCO2zRSCY5NZ/s4qy77l15q4N3MqESFneKLuvXwRoHQQ1W/7gcOv/MutscP5Om0O4cFKiI+OEanEB39YTndceq6K8AM6OjpXN7fGDtd8t3W3B/Bra81K9mT9QU7d+O9J9KP2nCReq3cDY1d0AtaSbxNu46VWTam5WTErPHFJ8O9Cc4CyHzoxNVbJj+rKg7SyoY/cdXR0rkjc5eB1FSLhywN/c3+Dfk732Z/zSgyz4Cv6yF1HR6fSURLh606wl/SclRV9uKyjo6NzFaILdx0dHZ2rEI/CXQgRL4RYKoTYKYTYIYR4yrx9ohDiuBBis/nvBpvfjBVC7BdC7BFCXF+eN6Cjo6Oj44g3Ovci4Bkp5UYhRDiwQQixyLzvXSnlW7YHCyGaA3cALYA4YLEQorGU0pd4/To6Ojo6pcDjyF1KeVJKudH8ORvYBdRy85ObgZ+llPlSykPAfqCjm+N1dHR0dMoYn3TuQogEoB2QYt70uBBiqxDiSyFElHlbLcA26MIxnHQGQohRQohUIUSq6/hrOjo6OjolwWvhLoQIA34DRkspLwAfAw2AtsBJ4G1fLiyl/ExKmSSlTArx5Yc6Ojo6Oh7xSrgLIfxRBPsPUsrfAaSU6VJKk5SyGPgcq+rlOBBv8/Pa5m06Ojo6OhWEN9YyApgO7JJSvmOzvabNYYOB7ebPs4E7hBCBQoh6QCNgXdkVWUdHR0fHE95Yy1wD3ANsE0JsNm97EbhTCNEWkEAa8BCAlHKHEGImsBPF0uYx3VJGR0dHp2LRY8vo6OjoVFLcxZbRJaqOjo7OVYgu3HV0dHSuQnThrqOjo3MVogt3HR0dnasQXbjr6OjoXIXowl1HR0fnKkQX7jo6OjpXIbpw19HR0bkK0YW7jo6OzlWILtx1dHR0rkJ04a6jo6NzFaILdx0dHZ2rEF246+jo6FyF6MJdR0dH5ypEF+46Ojo6VyG6cNfR0dG5CtGFu46Ojs5ViC7cdXR0dK5CdOGuo6OjcxWiC3cdHR2dqxBduOvo6OhchejCXUdHR+cqRBfuOjo6OlchunDX0dHRuQrRhbuOjo7OVYhH4S6ECBJCrBNCbBFC7BBCTDJvryeESBFC7BdCzBBCBJi3B5q/7zfvTyjne9DR0dHRscObkXs+0EtK2QZoC/QTQnQC3gDelVI2BDKBkebjRwKZ5u3vmo/T0dHR0alAPAp3qZBj/upv/pNAL+BX8/ZvgEHmzzebv2Pe31sIIcqqwDo6Ojo6nvFK5y6EMAohNgOngUXAASBLSllkPuQYUMv8uRZwFMC8/zxQzck5RwkhUoUQqbmlugUdHR0dHXu8Eu5SSpOUsi1QG+gINC3thaWUn0kpk6SUSSGlPZmOjo6OjgafrGWklFnAUqAzECmE8DPvqg0cN38+DsQDmPdXAc6WRWF1dHR0dLzDG2uZGCFEpPlzMHAdsAtFyA8xHzYcmGX+PNv8HfP+JVJKWYZl1tHR0dHxgJ/nQ6gJfCOEMKJ0BjOllHOEEDuBn4UQU4FNwHTz8dOB74QQ+4FzwB3lUG4dHR0dHTd4FO5Syq1AOyfbD6Lo3+23XwKGlknpdHR0dHRKhO6hqqOjo3MVogt3HR0dnasQXbjr6OjoXIXowl1HR0fnKkQX7jo6OjpXIbpw19HR0bkKEVeCf5EQIhvYc7nL4YRoIONyF8IJerl8Qy+Xb+jl8o3LWa66UsoYZzu8cWKqCPZIKZMudyHsEUKk6uXyHr1cvqGXyzf0cvmGrpbR0dHRuQrRhbuOjo7OVciVItw/u9wFcIFeLt/Qy+Uberl8Qy+XD1wRC6o6Ojo6OmXLlTJy19HR0dEpS6SUl/UP6IdiBrkfeKGcrpEGbAM2A6nmbVVRUgbuM/+PMm8XwAfm8mwFEm3OM9x8/D5guM329ubz7zf/Vrgox5coqQq322wr93K4uoaHck1ESbyy2fx3g82+seZr7AGu9/QsgXpAinn7DCDAvD3Q/H2/eX+CXbniUfIG7AR2AE9dCXXmplyXtc6AIGAdsMVcrkmlOFeZlNdDub4GDtnUV9uKbvvmY4woYcvnXAn1VWZyr6xP6NPFlUo9ANQHAswPv3k5XCcNiLbb9l+1soEXgDfMn28A5psbWCcgxaaRHDT/jzJ/VoXKOvOxwvzb/i7K0Q1IRCtEy70crq7hoVwTgf84uYfm5ucUaG6gB8zP0eWzBGYCd5g/fwI8Yv78KPCJ+fMdwAy7a9XE/GID4cBe8/Uva525KddlrTPzPYSZP/ujCI9Ovp6rLMvroVxfA0Oc1FeFtX3z9jHAj1iF+2WtrzKTe2V9Qp8urqTrW2DzfSwwthyuk4ajcN8D1LR5WfeYP38K3Gl/HHAn8KnN9k/N22oCu222a45zUpYEtEK03Mvh6hoeyjUR54JK84yABebn6PRZml+2DMDP/pmrvzV/9jMf53TWYz5mFkomsCuizpyU64qpMyAE2Agk+3qusiyvh3J9jXPhXmHPESVF6D9AL2BOSeq+POurNH+XW+deCzhq8/2YeVtZI4GFQogNQohR5m2xUsqT5s+ngFgPZXK3/ZiT7d5SEeVwdQ1PPC6E2CqE+FIIEVXCclUDsqSURU7KZfmNef958/EOCCESUJLGpLi5nwqvM7tywWWuMyGEUQixGUXNtghl5OjrucqyvE7LJaVU6+sVc329K4QILGF9leY5vgc8BxSbv5ek7su8vsqCyy3cK4quUspEoD/wmBCim+1OqXSf8rKUrILL4cM1PgYaAG2Bk8Db5VgstwghwoDfgNFSygu2+y5nnTkp12WvMymlSUrZFmVE2hFoWtFlcIZ9uYQQLVFGsU2BDiiqlufLuQya5yiEuBE4LaXcUJ7XvVxcbuF+HGVxSqW2eVuZIqU8bv5/GvgDpdGnCyFqApj/n/ZQJnfba5fiHiqiHK6u4RIpZbr5hSwGPseaUtHXcp0FIoUQfnbbNecy769iPt6CEMIfRYD+IKX83cP9VFidOSvXlVJn5rJkoSz6di7BucqyvK7K1U/+X/tmzNIwEIbhJ5OKCFpx6CauBaduOnRW8T+om07OBWfRpYLOggoWuzmLi+DQsXZRS3XzN4hDHe4rvQTS0jZtILwPHFwv5O7Nd+GD3Pu10/npOH6Ba0aP16j7uAHsBkHwDVRxRzMXfZ5l6vEai6TPeYZpuHOrNs6E6BoOhYTXmAcWvP4rzsE+J2y0nFl/m7CZU7fxHM7ZX7L2BeTsWtTM2eqjZ5Xw2fbEdcStMUBX3usfA1XrFwibR22ccRS7l0CNsHl0aP0jwgbVQ0RTANwAlch4qjHroyvVmAErwKL154AXYGfYuZLUO0BX3otnBThN4923ayV6hmqq8Uos9yU94dACnDP+gTsbLE9g/jULarcMq2zjyzgj5RN48l6SALgyPW9A0ZtrH1e61AL2vPEi0LR7LokvhbzHfa7/4c7ZDqahI26NAbpubd0G8Eg4cZVtjXe8yqC4vbQ9qJveGjBj47P2u2XX1yK6NnGf0Q288sK0Y9ZHV6oxA9ZxJX0Ne6aTMeZKRO8AXc8WryZwR6+iZmrvvnd/iV5yTzVeSTX9Q1UIITJI2mfuQgghJoCSuxBCZBAldyGEyCBK7kIIkUGU3IUQIoMouQshRAZRchdCiAyi5C6EEBnkHx4GXGA6A1h2AAAAAElFTkSuQmCC\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mKeyboardInterrupt\u001B[0m                         Traceback (most recent call last)",
      "\u001B[1;32m~\\AppData\\Local\\Temp/ipykernel_10996/1446993522.py\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m     43\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     44\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 45\u001B[1;33m     \u001B[0mplt\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mshow\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m     46\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     47\u001B[0m     \u001B[0mimg_2\u001B[0m\u001B[1;33m=\u001B[0m \u001B[0mnp\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mabs\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mspec_2\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\pyplot.py\u001B[0m in \u001B[0;36mshow\u001B[1;34m(*args, **kwargs)\u001B[0m\n\u001B[0;32m    366\u001B[0m     \"\"\"\n\u001B[0;32m    367\u001B[0m     \u001B[0m_warn_if_gui_out_of_main_thread\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 368\u001B[1;33m     \u001B[1;32mreturn\u001B[0m \u001B[0m_backend_mod\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mshow\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m*\u001B[0m\u001B[0margs\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    369\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    370\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib_inline\\backend_inline.py\u001B[0m in \u001B[0;36mshow\u001B[1;34m(close, block)\u001B[0m\n\u001B[0;32m     39\u001B[0m     \u001B[1;32mtry\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     40\u001B[0m         \u001B[1;32mfor\u001B[0m \u001B[0mfigure_manager\u001B[0m \u001B[1;32min\u001B[0m \u001B[0mGcf\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_all_fig_managers\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 41\u001B[1;33m             display(\n\u001B[0m\u001B[0;32m     42\u001B[0m                 \u001B[0mfigure_manager\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mcanvas\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mfigure\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     43\u001B[0m                 \u001B[0mmetadata\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0m_fetch_figure_metadata\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mfigure_manager\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mcanvas\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mfigure\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\IPython\\core\\display.py\u001B[0m in \u001B[0;36mdisplay\u001B[1;34m(include, exclude, metadata, transient, display_id, *objs, **kwargs)\u001B[0m\n\u001B[0;32m    318\u001B[0m             \u001B[0mpublish_display_data\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdata\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mobj\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mmetadata\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mmetadata\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    319\u001B[0m         \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 320\u001B[1;33m             \u001B[0mformat_dict\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mmd_dict\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mformat\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mobj\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0minclude\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0minclude\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mexclude\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mexclude\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    321\u001B[0m             \u001B[1;32mif\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[0mformat_dict\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    322\u001B[0m                 \u001B[1;31m# nothing to display (e.g. _ipython_display_ took over)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\IPython\\core\\formatters.py\u001B[0m in \u001B[0;36mformat\u001B[1;34m(self, obj, include, exclude)\u001B[0m\n\u001B[0;32m    178\u001B[0m             \u001B[0mmd\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    179\u001B[0m             \u001B[1;32mtry\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 180\u001B[1;33m                 \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mformatter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mobj\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    181\u001B[0m             \u001B[1;32mexcept\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    182\u001B[0m                 \u001B[1;31m# FIXME: log the exception\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\decorator.py\u001B[0m in \u001B[0;36mfun\u001B[1;34m(*args, **kw)\u001B[0m\n\u001B[0;32m    230\u001B[0m             \u001B[1;32mif\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[0mkwsyntax\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    231\u001B[0m                 \u001B[0margs\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mkw\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mfix\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0margs\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mkw\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0msig\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 232\u001B[1;33m             \u001B[1;32mreturn\u001B[0m \u001B[0mcaller\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mfunc\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m*\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mextras\u001B[0m \u001B[1;33m+\u001B[0m \u001B[0margs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkw\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    233\u001B[0m     \u001B[0mfun\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m__name__\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mfunc\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m__name__\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    234\u001B[0m     \u001B[0mfun\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m__doc__\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mfunc\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m__doc__\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\IPython\\core\\formatters.py\u001B[0m in \u001B[0;36mcatch_format_error\u001B[1;34m(method, self, *args, **kwargs)\u001B[0m\n\u001B[0;32m    222\u001B[0m     \u001B[1;34m\"\"\"show traceback on failed format call\"\"\"\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    223\u001B[0m     \u001B[1;32mtry\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 224\u001B[1;33m         \u001B[0mr\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mmethod\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m*\u001B[0m\u001B[0margs\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    225\u001B[0m     \u001B[1;32mexcept\u001B[0m \u001B[0mNotImplementedError\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    226\u001B[0m         \u001B[1;31m# don't warn on NotImplementedErrors\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\IPython\\core\\formatters.py\u001B[0m in \u001B[0;36m__call__\u001B[1;34m(self, obj)\u001B[0m\n\u001B[0;32m    339\u001B[0m                 \u001B[1;32mpass\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    340\u001B[0m             \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 341\u001B[1;33m                 \u001B[1;32mreturn\u001B[0m \u001B[0mprinter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mobj\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    342\u001B[0m             \u001B[1;31m# Finally look for special method names\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    343\u001B[0m             \u001B[0mmethod\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mget_real_method\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mobj\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mprint_method\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\IPython\\core\\pylabtools.py\u001B[0m in \u001B[0;36mprint_figure\u001B[1;34m(fig, fmt, bbox_inches, base64, **kwargs)\u001B[0m\n\u001B[0;32m    149\u001B[0m         \u001B[0mFigureCanvasBase\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mfig\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    150\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 151\u001B[1;33m     \u001B[0mfig\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mcanvas\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mprint_figure\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mbytes_io\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkw\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    152\u001B[0m     \u001B[0mdata\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mbytes_io\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mgetvalue\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    153\u001B[0m     \u001B[1;32mif\u001B[0m \u001B[0mfmt\u001B[0m \u001B[1;33m==\u001B[0m \u001B[1;34m'svg'\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\backend_bases.py\u001B[0m in \u001B[0;36mprint_figure\u001B[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001B[0m\n\u001B[0;32m   2293\u001B[0m                 )\n\u001B[0;32m   2294\u001B[0m                 \u001B[1;32mwith\u001B[0m \u001B[0mgetattr\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;34m\"_draw_disabled\"\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mnullcontext\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2295\u001B[1;33m                     \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mfigure\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m   2296\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2297\u001B[0m             \u001B[1;32mif\u001B[0m \u001B[0mbbox_inches\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\artist.py\u001B[0m in \u001B[0;36mdraw_wrapper\u001B[1;34m(artist, renderer, *args, **kwargs)\u001B[0m\n\u001B[0;32m     71\u001B[0m     \u001B[1;33m@\u001B[0m\u001B[0mwraps\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mdraw\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     72\u001B[0m     \u001B[1;32mdef\u001B[0m \u001B[0mdraw_wrapper\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0martist\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m*\u001B[0m\u001B[0margs\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 73\u001B[1;33m         \u001B[0mresult\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0martist\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m*\u001B[0m\u001B[0margs\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;33m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m     74\u001B[0m         \u001B[1;32mif\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_rasterizing\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     75\u001B[0m             \u001B[0mrenderer\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mstop_rasterizing\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\artist.py\u001B[0m in \u001B[0;36mdraw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     48\u001B[0m                 \u001B[0mrenderer\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mstart_filter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     49\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 50\u001B[1;33m             \u001B[1;32mreturn\u001B[0m \u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0martist\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m     51\u001B[0m         \u001B[1;32mfinally\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     52\u001B[0m             \u001B[1;32mif\u001B[0m \u001B[0martist\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_agg_filter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m \u001B[1;32mis\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\figure.py\u001B[0m in \u001B[0;36mdraw\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m   2808\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2809\u001B[0m             \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpatch\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2810\u001B[1;33m             mimage._draw_list_compositing_images(\n\u001B[0m\u001B[0;32m   2811\u001B[0m                 renderer, self, artists, self.suppressComposite)\n\u001B[0;32m   2812\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\image.py\u001B[0m in \u001B[0;36m_draw_list_compositing_images\u001B[1;34m(renderer, parent, artists, suppress_composite)\u001B[0m\n\u001B[0;32m    130\u001B[0m     \u001B[1;32mif\u001B[0m \u001B[0mnot_composite\u001B[0m \u001B[1;32mor\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[0mhas_images\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    131\u001B[0m         \u001B[1;32mfor\u001B[0m \u001B[0ma\u001B[0m \u001B[1;32min\u001B[0m \u001B[0martists\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 132\u001B[1;33m             \u001B[0ma\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    133\u001B[0m     \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    134\u001B[0m         \u001B[1;31m# Composite any adjacent images together\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\artist.py\u001B[0m in \u001B[0;36mdraw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     48\u001B[0m                 \u001B[0mrenderer\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mstart_filter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     49\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 50\u001B[1;33m             \u001B[1;32mreturn\u001B[0m \u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0martist\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m     51\u001B[0m         \u001B[1;32mfinally\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     52\u001B[0m             \u001B[1;32mif\u001B[0m \u001B[0martist\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_agg_filter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m \u001B[1;32mis\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\axes\\_base.py\u001B[0m in \u001B[0;36mdraw\u001B[1;34m(self, renderer)\u001B[0m\n\u001B[0;32m   3080\u001B[0m             \u001B[0mrenderer\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mstop_rasterizing\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   3081\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 3082\u001B[1;33m         mimage._draw_list_compositing_images(\n\u001B[0m\u001B[0;32m   3083\u001B[0m             renderer, self, artists, self.figure.suppressComposite)\n\u001B[0;32m   3084\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\image.py\u001B[0m in \u001B[0;36m_draw_list_compositing_images\u001B[1;34m(renderer, parent, artists, suppress_composite)\u001B[0m\n\u001B[0;32m    130\u001B[0m     \u001B[1;32mif\u001B[0m \u001B[0mnot_composite\u001B[0m \u001B[1;32mor\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[0mhas_images\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    131\u001B[0m         \u001B[1;32mfor\u001B[0m \u001B[0ma\u001B[0m \u001B[1;32min\u001B[0m \u001B[0martists\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 132\u001B[1;33m             \u001B[0ma\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    133\u001B[0m     \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    134\u001B[0m         \u001B[1;31m# Composite any adjacent images together\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\artist.py\u001B[0m in \u001B[0;36mdraw_wrapper\u001B[1;34m(artist, renderer)\u001B[0m\n\u001B[0;32m     48\u001B[0m                 \u001B[0mrenderer\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mstart_filter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     49\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m---> 50\u001B[1;33m             \u001B[1;32mreturn\u001B[0m \u001B[0mdraw\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0martist\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m     51\u001B[0m         \u001B[1;32mfinally\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m     52\u001B[0m             \u001B[1;32mif\u001B[0m \u001B[0martist\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_agg_filter\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m \u001B[1;32mis\u001B[0m \u001B[1;32mnot\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\axis.py\u001B[0m in \u001B[0;36mdraw\u001B[1;34m(self, renderer, *args, **kwargs)\u001B[0m\n\u001B[0;32m   1157\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   1158\u001B[0m         \u001B[0mticks_to_draw\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_update_ticks\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 1159\u001B[1;33m         ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,\n\u001B[0m\u001B[0;32m   1160\u001B[0m                                                                 renderer)\n\u001B[0;32m   1161\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\axis.py\u001B[0m in \u001B[0;36m_get_tick_bboxes\u001B[1;34m(self, ticks, renderer)\u001B[0m\n\u001B[0;32m   1083\u001B[0m     \u001B[1;32mdef\u001B[0m \u001B[0m_get_tick_bboxes\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mticks\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   1084\u001B[0m         \u001B[1;34m\"\"\"Return lists of bboxes for ticks' label1's and label2's.\"\"\"\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 1085\u001B[1;33m         return ([tick.label1.get_window_extent(renderer)\n\u001B[0m\u001B[0;32m   1086\u001B[0m                  for tick in ticks if tick.label1.get_visible()],\n\u001B[0;32m   1087\u001B[0m                 [tick.label2.get_window_extent(renderer)\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\axis.py\u001B[0m in \u001B[0;36m<listcomp>\u001B[1;34m(.0)\u001B[0m\n\u001B[0;32m   1083\u001B[0m     \u001B[1;32mdef\u001B[0m \u001B[0m_get_tick_bboxes\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mticks\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   1084\u001B[0m         \u001B[1;34m\"\"\"Return lists of bboxes for ticks' label1's and label2's.\"\"\"\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 1085\u001B[1;33m         return ([tick.label1.get_window_extent(renderer)\n\u001B[0m\u001B[0;32m   1086\u001B[0m                  for tick in ticks if tick.label1.get_visible()],\n\u001B[0;32m   1087\u001B[0m                 [tick.label2.get_window_extent(renderer)\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\text.py\u001B[0m in \u001B[0;36mget_window_extent\u001B[1;34m(self, renderer, dpi)\u001B[0m\n\u001B[0;32m    910\u001B[0m             \u001B[0mbbox\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0minfo\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mdescent\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_get_layout\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_renderer\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    911\u001B[0m             \u001B[0mx\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0my\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_unitless_position\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 912\u001B[1;33m             \u001B[0mx\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0my\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_transform\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtransform\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mx\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0my\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m    913\u001B[0m             \u001B[0mbbox\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mbbox\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtranslated\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mx\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0my\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    914\u001B[0m             \u001B[1;32mreturn\u001B[0m \u001B[0mbbox\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\transforms.py\u001B[0m in \u001B[0;36mtransform\u001B[1;34m(self, values)\u001B[0m\n\u001B[0;32m   1501\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   1502\u001B[0m         \u001B[1;31m# Transform the values\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 1503\u001B[1;33m         \u001B[0mres\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtransform_affine\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtransform_non_affine\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mvalues\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m   1504\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   1505\u001B[0m         \u001B[1;31m# Convert the result back to the shape of the input values.\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\transforms.py\u001B[0m in \u001B[0;36mtransform_affine\u001B[1;34m(self, points)\u001B[0m\n\u001B[0;32m   2417\u001B[0m     \u001B[1;32mdef\u001B[0m \u001B[0mtransform_affine\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mpoints\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2418\u001B[0m         \u001B[1;31m# docstring inherited\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2419\u001B[1;33m         \u001B[1;32mreturn\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_affine\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtransform\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mpoints\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m   2420\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2421\u001B[0m     \u001B[1;32mdef\u001B[0m \u001B[0mtransform_non_affine\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mpoints\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\transforms.py\u001B[0m in \u001B[0;36mget_affine\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m   2444\u001B[0m             \u001B[1;32mreturn\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_b\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mget_affine\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2445\u001B[0m         \u001B[1;32melse\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2446\u001B[1;33m             return Affine2D(np.dot(self._b.get_affine().get_matrix(),\n\u001B[0m\u001B[0;32m   2447\u001B[0m                                    self._a.get_affine().get_matrix()))\n\u001B[0;32m   2448\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32mC:\\conda\\lib\\site-packages\\matplotlib\\transforms.py\u001B[0m in \u001B[0;36mget_matrix\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m   2691\u001B[0m             \u001B[1;31m# A bit faster than np.identity(3).\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2692\u001B[0m             \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_mtx\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mIdentityTransform\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_mtx\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mcopy\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2693\u001B[1;33m             \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_mtx\u001B[0m\u001B[1;33m[\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;36m2\u001B[0m\u001B[1;33m,\u001B[0m \u001B[1;36m2\u001B[0m\u001B[1;33m]\u001B[0m \u001B[1;33m=\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_scale_trans\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mtransform\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_t\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m   2694\u001B[0m             \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_invalid\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;36m0\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2695\u001B[0m             \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0m_inverted\u001B[0m \u001B[1;33m=\u001B[0m \u001B[1;32mNone\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;31mKeyboardInterrupt\u001B[0m: "
     ]
    }
   ],
   "source": [
    "from pydub import AudioSegment\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import librosa\n",
    "from librosa import display\n",
    "import sounddevice as sd\n",
    "\n",
    "from skimage import data, filters\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# from utils import util\n",
    "from ssqueezepy import ssq_stft, ssq_cwt\n",
    "\n",
    "from artear2_paddle.utils import util\n",
    "# from DMuse.artear2_paddle.utils import util\n",
    "\n",
    "mp3_files = util.get_files(r'C:/CloudMusic', 'mp3')\n",
    "\n",
    "for filename in mp3_files:\n",
    "    audio = AudioSegment.from_file(filename, \"mp3\")\n",
    "    '''audio_duration = len(audio) / 1000  # 获取待切割音频的时长，单位是毫秒\n",
    "    cut_parameters = np.arange(1, audio_duration, 10)  # np.arange()函数第一个参数为起点，第二个参数为终点，第三个参数为步长（10秒）\n",
    "    start_time = 0\n",
    "    for t in cut_parameters:\n",
    "        stop_time = int(t * 1000)  # pydub以毫秒为单位工作\n",
    "        audio_chunk = audio[start_time:stop_time]  # 音频切割按开始时间到结束时间切割\n",
    "        audio_chunk.export(r'C:/CloudMusic/' + '.'.join(os.path.basename(filename).split('.')[:-1]) + '-{}.wav'.format(int(t/2)),\n",
    "                           format=\"wav\")  # 保存音频文件，t/2只是为了计数，根据步长改变。步长为5就写t/5\n",
    "        start_time = stop_time - 1000  # 开始时间变为结束时间前1s---------也就是叠加上一段音频末尾的4s\n",
    "        print('finish')'''\n",
    "\n",
    "    raw = np.array(audio[:10000].get_array_of_samples()).reshape((-1, 2))\n",
    "    spec_0 = librosa.feature.chroma_stft(raw[:, 0].astype('float32'), 44100, hop_length=512, n_chroma=512)\n",
    "    spec_ = ssq_cwt(raw[:, 0], fs=44100)\n",
    "    spec_2 = spec_[0]\n",
    "\n",
    "    fig, ax = plt.subplots()\n",
    "    S_dB = librosa.power_to_db(spec_0, ref=np.max)\n",
    "    img = librosa.display.specshow(spec_0, x_axis='time', y_axis='mel', sr=44100, fmax=8000, ax=ax)\n",
    "    fig.colorbar(img, ax=ax, format='%+2.0f dB')\n",
    "    ax.set(title='Mel-frequency spectrogram')\n",
    "\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "    img_2= np.abs(spec_2)\n",
    "\n",
    "    thresh = filters.threshold_otsu(img_2)   #返回一个阈值\n",
    "    dst_2 =(img_2 <= thresh)*1.0   #根据阈值进行分割\n",
    "\n",
    "    plt.imshow(dst_2, aspect='auto', cmap='turbo')\n",
    "    plt.show()\n",
    "    # sd.play(raw, samplerate=44100, blocking=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [],
   "source": [
    "import ScoreDraft\n",
    "from ScoreDraft.Notes import *\n",
    "\n",
    "doc=ScoreDraft.Document()\n",
    "\n",
    "seq=[do(),do(),so(),so(),la(),la(),so(5,96)]\n",
    "\n",
    "doc.playNoteSeq(seq, ScoreDraft.NaivePiano())\n",
    "doc.mixDown('twinkle.wav')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 576x576 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from skimage import data,filters\n",
    "import matplotlib.pyplot as plt\n",
    "image = data.camera()\n",
    "thresh = filters.threshold_otsu(image)   #返回一个阈值\n",
    "dst =(image <= thresh)*1.0   #根据阈值进行分割\n",
    "\n",
    "plt.figure('thresh',figsize=(8,8))\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.title('original image')\n",
    "plt.imshow(image,plt.cm.gray)\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.title('binary image')\n",
    "plt.imshow(dst,plt.cm.gray)\n",
    "\n",
    "plt.show()"
   ],
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